Most platform teams running OpenAI, Anthropic, and Bedrock in production can't say who spent what, which model saw which data, or what happens when a provider goes down. LiteLLM is the gateway that fixes all of it, self hosted in your own VPC and proven on one of your workloads first.
Once a few teams ship on multiple providers, the stack fragments fast. Four pains we hear from every regulated infrastructure leader:
Provider invoices arrive as one number. Nobody can say which team drove it.
Auditors expect a call level log of what went to which model. Most stacks cannot produce one.
Provider keys scattered across teams. Nobody can inventory them, so nobody can revoke them.
One provider degrades and your AI features go down with it. No automatic rerouting.
LiteLLM is the LLM gateway from BerriAI. Your apps connect once, and it routes, governs, and logs every request across 100+ providers, self hosted in your own VPC, so sensitive data never leaves your environment.
Per team and per app cost attribution, spend budgets, and central control over who can call which model under which conditions.
A full log of every model call, in your environment, to support the audit and data handling expectations regulated industries face.
One config to route across providers, with automatic failover so a single provider outage does not take your AI features down.
LiteLLM is the control plane across all of the LLMs you use today, and it runs on the Akamai Cloud. Once the gateway shows you exactly what each team spends on Claude, OpenAI, Bedrock, and every other model, repetitive workloads can move onto Akamai's cloud at a fraction of the cost. The AI Inference Grid orchestrates across 4,400+ PoPs for lower latency than the hyperscalers, which were never built for this demand.
LiteLLM already fronts every provider, so moving workloads onto Akamai is a config change in the gateway, not a replatforming project.
Offload repetitive workloads from frontier models onto open models on Akamai, and cut those costs by up to 80% with zero egress fees.
The AI Inference Grid orchestrates inference across 4,400+ PoPs, close to your users, a footprint the hyperscalers were never built to match.
LiteLLM is the most widely deployed open source LLM gateway. These are its users, in their own words.
LiteLLM has let my team provide the latest LLM models to our users usually within a day of them being released. Without LiteLLM this would be hours of work each time a new model is announced. It means we don't have to transform inputs and outputs across providers and has saved us months of work.
With LiteLLM at the center of Inference Hub, thousands of NVIDIA engineers can use one API, one set of credentials, and centralized visibility across providers.
Our experience with LiteLLM and Langfuse at Lemonade has been outstanding. LiteLLM streamlines the complexities of managing multiple LLM models.
Testimonials refer to the LiteLLM gateway, published by BerriAI. MobileRider Networks is the LiteLLM channel partner.
The capabilities regulated enterprises need on top of the gateway:
OIDC and JWT auth, role based access, and provisioning that plugs into Okta, Entra, and Google.
Key rotations, read and write to your secret manager, and advanced key management across organizations and team or org admins.
Govern who can call which model under which conditions, scoped per key and per team.
Key and team based logging to Langfuse, Langsmith, or Arize, plus management ops logs and extended retention.
A control plane for multi region architecture and multiple isolated production deployments.
Enterprise support and guidance included, with 24/7 SLAs available at scale.
A short walkthrough of the LiteLLM gateway: routing, keys, budgets, and guardrails across providers.
No migration project and no procurement gauntlet to get started. We begin small and concrete, on a workload you already run.
A $5,000 fixed scope assessment, funded through our Akamai partnership. Qualified teams pay nothing. In five business days we map your AI spend by team across every provider, rank the audit gaps an auditor would hit first, and show where production breaks if a provider goes down. If we find nothing worth fixing, we say so in writing, and you have spent five days instead of five thousand dollars.
LiteLLM stood up against your stack, in your VPC, so you see the cost, governance, and audit picture on real traffic. Success criteria are written down before we start, and the POC fee is credited in full against a commercial license.
Once the value is clear on one workload, extend the gateway across teams with a commercial license and our support.
MobileRider Networks is the LiteLLM channel partner and an Akamai partner. We run the engagement from the first workload review, to the proof of concept in your VPC, to the path into production on the Akamai Cloud.
From the first workload review through production, you work with one team that owns the outcome, not a chain of vendor handoffs.
We bring the route to move repetitive workloads onto the Akamai Cloud, where the cost and latency advantage lives.
We work with financial services, healthcare, and legal teams, where cost visibility, governance, and audit are not optional.
Tell us a little about your stack. We reply within 24 hours with whether you qualify for one of the 10 funded slots this quarter, and what the five day assessment would cover on your workloads. The engagement is valued at $5,000. Qualified teams at banks, insurers, healthcare, and other regulated enterprises pay nothing.
One gateway for cost, governance, audit, and failover. Ten funded assessment slots this quarter.
Request a funded slot