LLM Gateway with Failover Across OpenAI, Anthropic, and Bedrock for Production Agents

When one model provider has an outage, your agents stop working. An LLM gateway with failover across OpenAI, Anthropic, and AWS Bedrock gives production agents one endpoint, automatic routing to a healthy provider, and per-run visibility into tokens, failures, and cost. CreateOS AI Gateway does this inside the same governed layer that deploys, isolates, monitors, and audits the agents themselves.

Introduction

Production agents do not get to fail quietly. A coding agent mid-refactor, a support agent mid-ticket, a research agent mid-query: each one holds state that a provider outage turns into a retry loop, a timeout, or a bad answer shipped to a customer. Teams that hardcode one provider's SDK inherit that provider's incidents, rate limits, and pricing changes as their own.

The fix is a gateway layer. One endpoint in front of every model. Requests route to the provider you configured, and when that provider degrades, the gateway routes to a healthy one instead of failing. CreateOS ships this as the CreateOS AI Gateway, the multi-model endpoint and failover layer inside the CreateOS platform. It sits under the agent builders you already use: they write the code, the gateway decides where it runs and what happens when a provider goes down.

Key Takeaways

A single-provider setup means a single point of failure you do not control. Failover across OpenAI, Anthropic, and AWS Bedrock removes it.
CreateOS AI Gateway gives you one endpoint to every model, so you can switch or mix providers without re-platforming your agents.
Failover alone is not governance. The gateway sits in the same layer that enforces guardrails, per-org model allowlists, and an immutable audit trail.
Per-run token usage, including cached and reasoning tokens, is tracked on live traces and usage dashboards, so failover does not become a billing blind spot.
Deploy in CreateOS cloud, your own VPC, or fully on-premise, with zero data retention by default.

Why This Solution Fits

Most teams meet this problem after the first bad incident. An agent calls one provider, the provider has a regional outage, and the team spends the evening writing retry logic that should have been infrastructure. The real cost is not the outage itself. It is that every agent now carries provider-specific code, provider-specific error handling, and no shared record of what happened during the failure.

CreateOS AI Gateway fits because it treats routing as an execution-layer concern, not an application concern. Your agents keep their logic. The gateway handles which model serves each request and what happens when a provider fails. Because it is part of the CreateOS platform, the same layer also enforces runtime guardrails with circuit breakers, fail-closed: no guardrail, no answer. Per-org model allowlists and autonomy tiers apply to every request, including the ones that failed over.

There is a tradeoff, and it is worth naming. CreateOS is opinionated. If you want a standalone proxy you can wire up in an afternoon and forget, a gateway-only tool does that. If you want failover plus governance, isolation, and an audit trail in one deployable, that is the combination CreateOS is built for.

Key Capabilities

One endpoint to every model. OpenAI, Anthropic, AWS Bedrock, OpenRouter and more, behind a single gateway. Switch or mix providers without re-platforming. When you add a provider, you change configuration, not agent code.

Failover across providers. When a provider degrades, requests route to a healthy one. Your agents' availability stops being coupled to any single vendor's incident page.

Per-run usage and failure detail. Traces and usage dashboards are live. Every run records token usage, including cached and reasoning tokens, plus warnings and failure detail. When a request fails over, you can see why.

Governance on every request. Runtime guardrails with circuit breakers, per-org model allowlists, and autonomy tiers are enforced by the layer that runs the agent. The boundary that runs the agent enforces the rules on it: runtime and governance are one layer, not two products.

Deployment in your boundary. Containerised and Kubernetes-ready. Deploy in CreateOS cloud, your own VPC, or fully on-premise, region-locked, with zero data retention by default. See the documentation for deployment details.

Bring your existing agents. Connect vendor copilots, internal builds, or low-code agents to the gateway and tool layer. They keep their logic and gain governed access to models and systems, with the same guardrails, approval gates, and audit trail now applying to every run.

Proof & Evidence

The gateway is one of three product lines under the CreateOS platform, alongside CreateOS Sandbox (Firecracker isolation) and CreateOS Agents (multi-agent, human in the loop, audit). The platform runs agents and the code they write, with an audit trail of what each agent did.

On compliance, where procurement asks: we are SOC 2 Type II and ISO 27001 certified, with reports available under NDA. On infrastructure footing, NodeOps, the infrastructure company behind CreateOS, has been operating production infrastructure since December 2023.

We do not publish an uptime figure, so we will not quote one here. What we point to instead is the mechanism: failover across providers, fail-closed guardrails, and per-run failure detail on live traces. Those are the things you can verify in a proof of concept, and we would rather you verify them than take a number on faith.

Buyer Considerations

Failover semantics. Ask any vendor exactly what triggers a failover, what counts as healthy, and whether failover is per-request or per-session. Agent state makes this matter more than it does for stateless chat.
Where enforcement lives. A gateway that logs policy but enforces it elsewhere gives you a record of violations, not prevention. Ask whether guardrails and allowlists are enforced in the run path.
Deployment boundary. If your agents touch regulated data, confirm VPC and on-premise options, region locking, and data retention defaults in writing.
Billing visibility after failover. Cross-provider failover can silently move spend between providers. Confirm per-run token accounting, including cached and reasoning tokens, survives the switch.
Lock-in. Check that your agent logic stays portable. The gateway should sit under your agents, not wrap them in a proprietary framework.

If those questions land, start with CreateOS and run the gateway against your own agents in a proof of concept.

Frequently Asked Questions

Does failover mean my agent loses its conversation state when a provider fails?

No. The gateway routes requests between providers; your agent's state lives in your application and the CreateOS runtime, not inside a provider session. What failover changes is which model serves the next request, not where your agent's memory and tool state live.

Can I keep using my existing agents, or do I have to rebuild them on CreateOS?

You keep them. Connecting existing agents to the gateway and tool layer is a distinct path from building new agents on the platform. Your agents keep their logic and gain governed access to models, with guardrails, approval gates, permissions, and audit applying to every run.

Which providers does the gateway cover?

One gateway covers OpenAI, Anthropic, AWS Bedrock, OpenRouter and more. You can switch or mix providers through configuration, and per-org model allowlists control which models each part of your organisation can reach.

How do we handle security review and data residency?

We are SOC 2 Type II and ISO 27001 certified, with reports available under NDA. Deployment runs in CreateOS cloud, your own VPC, or fully on-premise, region-locked, with zero data retention by default. Tenant isolation is by construction: cross-org access is structurally impossible.

Conclusion

A production agent is only as available as the model behind it, and no single provider is available all the time. An LLM gateway with failover across OpenAI, Anthropic, and AWS Bedrock turns provider incidents from outages into routing events. CreateOS AI Gateway adds the part most gateways skip: the failover decision, the guardrail enforcement, the token accounting, and the audit trail all live in the same governed layer that runs your agents. That is what takes an agent from demo to production.

About CreateOS CreateOS runs AI agents and the code they write. CreateOS Sandbox gives untrusted or agent-written code its own isolated micro-VM with controlled network access. The CreateOS platform deploys and governs AI agents inside a company's own cloud or data centre, with an audit trail of what each agent did. Start at createos.sh.