Kong AI Gateway vs LiteLLM: Which AI Gateway Scales for Production?
Blog post from Kong
An enterprise AI gateway serves as a centralized control plane to manage, secure, and route AI traffic at scale, with LiteLLM and Kong being prominent examples. LiteLLM is an open-source AI gateway that offers baseline functionalities such as multi-LLM routing and governance, making it suitable for initial AI connectivity needs. However, as organizations scale, Kong stands out due to its advanced enterprise features, including higher throughput, lower latency, and comprehensive governance capabilities that extend beyond basic connectivity to include agent-to-agent traffic management and centralized cost control. Kong's architecture, built on a compiled core for optimized performance, allows for more efficient handling of high-volume traffic compared to LiteLLM's Python-based proxy layer. Additionally, Kong provides enhanced security measures, such as centralized PII masking and robust access controls, which are critical for production environments. As AI platforms become integral to enterprise operations, the need for such comprehensive governance and performance capabilities becomes paramount, positioning Kong as a preferable choice for more demanding production requirements.