Prompt

Why is my fallback routing not switching models when the primary is down?

Artificial Intelligence / AI Infrastructure1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

There are a few common reasons fallback routing doesn’t actually switch models when the primary is down:

  1. The primary isn’t being detected as “down”

    • Many systems only fail over on explicit errors/timeouts, not on slow responses or bad outputs.
    • If the primary returns a 200 with an empty/low-quality response, the router may still treat it as healthy.
  2. Health checks aren’t configured or aren’t aggressive enough

    • If the router relies on periodic health checks, it may keep sending traffic to the primary until the next check runs.
    • Long intervals, high retry counts, or permissive timeouts can delay failover.
  3. Fallback is only triggered on certain error types

    • Some routers only switch on network failures, 5xx errors, or rate limits.
    • They may not fail over on 4xx errors, content-filter refusals, or application-level exceptions unless configured to do so.
  4. Caching / sticky routing is pinning traffic to the primary

    • Session affinity, sticky load balancing, or cached route decisions can keep requests on the same model even after it starts failing.
  5. The fallback model itself is unavailable or misconfigured

    • If the backup model ID, endpoint, credentials, or region is wrong, the router may appear to “not switch” because the fallback path fails too.
  6. Retries are happening before failover

    • Some setups retry the primary several times before considering fallback.
    • This can look like it’s not switching when it’s just retrying the same model.
  7. Policy/order configuration is wrong

    • The fallback model may not actually be listed as a backup, or priority order may be reversed.
    • In multi-model routing, the primary may still be weighted too heavily.
  8. The system is using client-side routing, but your client never sees the failure

    • If the SDK hides retries internally, or if the application swallows exceptions, your fallback logic may never run.

What to check

  • Logs for the exact failure that should trigger failover
  • Router config: timeout, retry, health-check interval, failover conditions
  • Whether failover is based on transport errors vs application errors
  • Whether session affinity or caching is enabled
  • Backup model availability and credentials
  • Observed request path: primary retried vs actual fallback selected

If you want, paste your routing config or code snippet and I can help pinpoint the exact issue.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.