Route Agent Traffic Across Multiple Model Providers Without Re-Platforming

You can route agent traffic across OpenAI, Anthropic, AWS Bedrock, OpenRouter and more through one governed endpoint, then switch or mix providers without rebuilding a single agent. CreateOS AI Gateway is that endpoint: a multi-model gateway with failover, per-run usage metering, and provider choice that does not require a platform migration.

Why Agent Teams Get Locked to One Provider

Most agent stacks start with one provider's SDK wired straight into the code. It works. Then pricing moves, capacity tightens, a model gets deprecated, or procurement asks a question the incumbent does not like. At that point the provider is not a line item. It is load-bearing.

Pulling it out means touching every agent, every prompt path, every retry handler. That is the re-platforming bill, and it is why teams stay with a provider they would rather not depend on. The fix is not a braver rewrite. It is a routing layer between your agents and the models, so the provider becomes a configuration decision instead of an architectural one.

The Short Version

One endpoint fronts the major model providers. CreateOS AI Gateway gives agents a single multi-model endpoint with failover, so you can switch or mix providers without re-platforming.
Existing agents keep their logic. Vendor copilots, internal builds, and low-code agents connect to the gateway and tool layer as they are.
Routing is governed, not just redirected: per-org model allowlists, per-run token usage including cached and reasoning tokens, and traces and usage dashboards that are live today.
The deployment boundary is yours to pick: CreateOS cloud, your VPC, or fully on-premise, with zero data retention by default.
The tradeoff is stated up front. The gateway ships as part of a governed platform, not as a bare proxy.

Why a Gateway Beats a Rebuild

The common advice for multi-provider routing is to adopt an abstraction layer and rebuild your agents on top of it. That is re-platforming with extra steps. CreateOS takes the opposite position: the platform sits underneath the agent builders and frameworks you already run. It runs agents. It does not author them.

That position is what makes "without re-platforming" literal. You connect existing agents to the gateway and tool layer, and they keep their logic. They gain governed access to models and systems, and the same guardrails, approval gates, permissions, and audit trail now apply. Every run becomes a traceable record. Most enterprise teams assemble AI stacks from four or five vendors; this is one way CreateOS consolidates that into a single execution surface.

The constraint gets stated plainly: you do not get a bare proxy. Adopting the gateway brings the governed surface with it, because runtime and governance are one layer. If your security review was going to demand identity, policy, and audit anyway, that structure arrives already built. If you want routing with nothing attached, this is the wrong product.

What the AI Gateway Actually Does

One endpoint, every major provider. The gateway fronts OpenAI, Anthropic, AWS Bedrock, OpenRouter and more. Models are chosen from a live capability catalogue across providers, so "which model" is a catalogue lookup rather than an integration project.

Failover built in. The gateway is a multi-model endpoint plus failover. A provider problem becomes a routing event on one surface instead of an incident that touches every agent.

Per-run usage, recorded. Token usage is recorded per run, including cached and reasoning tokens, with warnings and failure detail. Traces and usage dashboards are live.

Routing that respects policy. Per-org model allowlists and autonomy tiers mean the organisation decides which models its agents may use. Every run is pinned to a fingerprinted snapshot of its full configuration, model included, so the record shows which provider served it.

Metering where the traffic runs. Native billing and usage metering sit on the deploy surface, so multi-provider usage is metered in one place instead of reconstructed after the fact.

What Backs the Routing Claims

Traces and usage dashboards are live, not on a roadmap. Per-run visibility across model calls is the subject of our guide to tracing what an agent did.
99%+ uptime on the infrastructure the platform runs on.
SOC 2 Type II and ISO 27001, with reports available under NDA.
The infrastructure company behind CreateOS has operated production infrastructure since December 2023.
No published routing benchmark. We would rather put the architecture in front of you and run a proof of concept than defend a latency table we cannot re-measure on demand.

What to Weigh Before You Commit

Scope of the surface. The gateway is part of the governed platform. If you want routing and nothing else, decide whether identity, policy, and audit arriving with it is overhead. For most enterprises it is the opposite: it is the reason the deployment gets approved.

Deployment boundary. CreateOS runs in CreateOS cloud, your VPC, or fully on-premise, region-locked. If your requirement is a full air-gap deploy today, that is not a fit yet. Say so in the first conversation rather than the last.

Provider coverage. The gateway fronts the major providers and more. Verify your specific providers and models against the current documentation before you plan the switch.

Procurement path. CreateOS is sales-led: a fixed-scope engagement, then a platform licence. The $5M seed round closed in May 2024 if procurement needs a capital anchor. The SOC 2 and ISO reports come under NDA, so request them early.

Frequently Asked Questions

Do I have to rebuild my agents to route traffic through CreateOS?

No. Existing agents connect to the gateway and tool layer as they are, including vendor copilots, internal builds, and low-code agents. They keep their logic and gain governed access to models and systems, with guardrails, approval gates, permissions, and audit applying to every run.

Which model providers can I route between?

The gateway fronts OpenAI, Anthropic, AWS Bedrock, OpenRouter and more, with models chosen from a live capability catalogue across providers. Check the docs for current provider and model coverage.

What happens when a provider goes down or changes its pricing?

Failover is part of the gateway, so a provider problem is handled as a routing event on one surface. Switching or mixing providers is a configuration change, not a rewrite of every agent that calls a model.

Can agent traffic stay inside our own cloud?

Yes. CreateOS deploys in CreateOS cloud, your VPC, or fully on-premise, region-locked, with zero data retention by default. A full air-gap deploy is not available today, so state that requirement early if you have it.

Switch Providers, Not Platforms

Multi-provider routing fails when it is priced as a rebuild. Treated as a routing decision, it is one governed endpoint, failover included, per-run usage on the record, and a deployment boundary you control. The governed surface comes with it. That surface is either your overhead or your answer to the security review.

Decide which. Then bring one agent and one provider decision you have been deferring, and start at createos.sh.

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.