LLM incident response should first classify the symptom as availability, latency, quality, data, tool, or spend, then correlate it with model, route, attempt, prompt version, and workload. Recovery policy and complete request traces reduce time spent guessing across provider dashboards.
The INFRO view: INFRO gives operators one trace across routing, attempts, latency, usage, and cost so incidents do not begin with reconciling multiple provider dashboards.
Triage by symptom
Check whether requests fail, arrive slowly, return invalid structure, produce worse answers, call tools incorrectly, expose data, or cost more. These categories have different owners and mitigations even when they start at the same model release.
Compare affected and unaffected traffic by model, provider route, region, project, prompt version, and feature.
Stabilize before perfect diagnosis
Remove a degraded route, reduce traffic, disable an unsafe fallback, roll back a prompt, lower concurrency, pause a batch job, or restrict a premium model. Choose the smallest reversible action that protects users and data.
Do not let automatic failover hide a growing incident. Rising fallback rate is a signal even when final errors stay low.
Collect the evidence chain
For example requests, capture request ID, timestamps, model, route, attempts, errors, first-token and total latency, usage, cost, prompt or configuration version, tools, and final product outcome. Keep sensitive payload access controlled.
Provider status pages are context, not proof. Your route-level evidence shows whether your traffic is affected.
Close the loop
Write the trigger, impact, detection gap, mitigation, root cause, and concrete prevention. Add the failure to evaluations, alerts, runbooks, or policy. If the response depended on one person remembering a dashboard, automate the next detection.
Review whether fallback preserved quality and whether recovery attempts changed the bill.
Where INFRO fits
Health-aware route selection and eligible failover can stabilize transient provider problems, while the INFRO console keeps recovered attempts visible. Central model and spend controls support fast reversible mitigations.
Use the public status page, console walkthrough, FAQ, and security page when drafting your runbook. Confirm escalation paths during early-access onboarding.
Frequently asked questions
What is the first step in an LLM incident?
Classify the user-visible symptom—availability, latency, quality, data, tools, or spend—and compare affected traffic by model, route, and recent change.
Can failover hide an incident?
Yes. Final success can remain high while fallback rate, latency, and duplicate cost rise. Monitor the attempt chain, not only final status.
How does INFRO help incident response?
INFRO centralizes route, attempt, timing, usage, cost, and policy context for supported model requests in one operational trace.
