WSO2 AI 网关与 Kong:哪个平台推动您的 AI 战略?

📄 中文摘要

AI 代理以空前的速度消耗 API,每个 AI 驱动的聊天机器人、自动化工作流和智能自动化系统都需要通过 API 与后端服务进行交互。然而,大多数 API 网关是为人类开发者编写代码而设计的,而非为自主 AI 代理实时决策而设计。这一差距催生了 AI 网关这一全新类别,这些 API 管理平台专门处理 AI 代理流量的独特需求,包括语义缓存、模型路由、提示注入保护、令牌治理和模型上下文协议(MCP)支持。在这一领域,WSO2 和 Kong 两个平台已成为领导者。

📄 English Summary

WSO2 AI Gateway vs Kong: Which Platform Powers Your AI Strategy?

AI agents are consuming APIs at an unprecedented rate, with every AI-powered chatbot, autonomous workflow, and intelligent automation system requiring interaction with backend services through APIs. However, most API gateways were designed for human developers, not for autonomous AI agents making real-time decisions. This gap has led to the emergence of a new category known as AI gateways, which are API management platforms specifically designed to meet the unique demands of AI agent traffic, including semantic caching, model routing, prompt injection protection, token governance, and support for Model Context Protocol (MCP). Two platforms have emerged as leaders in this space: WSO2 and Kong.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等