Logo RouteroAI
Reliability

Multi-provider failover.

A declarative fallback chain across every provider you trust, with sub-second cut-over and a live event stream of every retry. Chain three providers and a single outage never reaches your users.

Sub-second failover14 providersAutomatic retry & fallbackRegional boundary
< 280ms
P99 failover decision and retry
100+
Models across 14 providers, hot-swappable
0
Client-side retry logic to maintain

When OpenAI has a bad afternoon,
so does your product.

Provider outages, regional rate limits, model deprecations, content-filter false positives — all of them surface as 5xx in your app. Most teams handle this by stitching together a try/catch ladder per provider, then hoping the on-call engineer remembers it exists.

Routero AI replaces that with a declarative fallback chain, sub-second failover, and a live view of which provider actually served each request.

Four signals, one decision.

01

Health probes

Every provider+model is probed every 10s — latency, error rate, content-filter trip rate. A degraded provider is marked unhealthy before your users notice.

02

Real-time error classification

5xx, rate limit, content filter, context window, auth — each triggers a different retry strategy. A 429 retries on the same provider; a content-filter trip jumps to the fallback.

03

Streaming request switch-over

If a streaming request fails before output starts, it is immediately retried on the next candidate. Your client sees one complete, continuous SSE stream.

04

Budget-aware fallback

Fallback chains respect spend policies. A "cost-optimized" route won't fall back to GPT-4 unless you opt-in. A "quality-first" route will.

05

Regional boundary

EU-region gateways only peer with EU providers; US-region data stays US-only. Self-hosted models are only called from inside your VPC — even during a global outage.

06

Per-request audit

Every response carries headers showing the chosen provider, retry count, and decision reason. Reproducible incidents, no log spelunking.

Three providers, one route.

A typical production route. Anthropic primary, OpenAI mid, an in-region open-source model as last-resort. Routero AI walks the chain on any unrecoverable error.

# routes/customer-support.yaml name: customer-support candidates: - provider: anthropic model: claude-sonnet-4.6 weight: 100 timeout_ms: 8000 - provider: openai model: gpt-5.4 timeout_ms: 8000 - provider: bedrock model: llama-4-maverick timeout_ms: 12000 retry: on: [5xx, timeout, content_filter] max_attempts: 3 backoff_ms: 80

See every retry in real time.

A live event stream of every routing decision, with filterable views for SRE on-calls. Click any failover event to see the provider's health snapshot at that moment — no after-the-fact reconstruction.

LIVE · routes/customer-support · last 60s
Time Request Provider Status Latency
14:32:04req_8a91…anthropic/sonnet-4● 200412ms
14:32:03req_8a8e…anthropic → openai↻ failover · 2001.1s
14:32:01req_8a7c…anthropic/sonnet-4● 200388ms
14:31:58req_8a6f…anthropic/sonnet-4● 200421ms
14:31:54req_8a5a…anthropic → openai↻ failover · 200980ms

Recent failovers are highlighted. Anthropic returned overloaded_error twice in this minute; OpenAI handled both retries cleanly.

See your failover chain on real traffic.

A 30-minute walkthrough with a solutions engineer — bring your provider list and we'll map it live.