AI model chaos in organizations

Enterprises face uncontrolled ai model usage across multiple providers like claude and openai.

“At the moment, it’s a s**t show”

Engineer describes key management chaos

An engineer noted everyone has their own keys for claude, openai, aws bedrock and other inference providers.

“Everyone has their own set of keys for claude, openai, aws bedrock, and all the other inference providers we use”

LLM gateways solve access control

Gateways provide a single point for calls to ai models to enforce budgets, access controls and usage tracking.

LLM gateways deployed in multiple ways

Some function as in-house proxies, others as multi-tenant saas services or aggregators for multiple providers.

SaaS gateways offer billing benefits

SaaS gateways free customers from operational tasks while allowing billing for multiple models by the service provider.

Enterprise benefits from llm gateways

Insurance provider lemonade says llm gateways streamline managing multiple ai models.

“LiteLLM streamlines the complexities of managing multiple llm models”

Gateway bottlenecks and routing issues

Developers report ai gateways can become system bottlenecks and routing fails when models switch providers.

“Sometimes the ai gateway can become the bottleneck of your system because it is slow”

Key user priorities for gateways

Users prioritize model version pinning and spend per key over smart routing for cost savings.

“The part that bit us was that a gateway makes it trivial to fail over to a second provider, and then you find out the thresholds you tuned on the first one are wrong on the second”