For agents to succeed, they need secure and compliant access to enterprise data. This means your infra itself must be secure and compliant. Kong has been battletested and hardened from over a decade of use in some of the strictest of enterprise environments. 

Move everything from smaller GenAI to massive multi agent workloads over to Kong in days and weeks – not months. If you’re already using Kong for API and event stream management, make it happen even faster.

LiteLLM might work for smaller-scale projects and experiments. It quickly falls down when asked to perform at the massive throughput and scale that agentic systems will require.

Agents don’t just consume models. They consume context. And that means you *must *be able to govern how they access everything from the API to the event stream. LiteLLM has no answer for this. With Kong, you get it all.