# Kong AI Gateway Kong AI Gateway centraliza a governança do tráfego de LLM, MCP e entre agentes, ajudando equipes de plataforma e IA a controlar segurança, observabilidade, roteamento e custos de workloads de IA em produção. - Findings24: - Site: - Preços: Freemium - Categorias: Gateways e roteamento de IA, Observabilidade de IA ## O que é Kong AI Gateway? Kong AI Gateway is a gateway for governing AI traffic across large language models, MCP resources, and agent-to-agent workflows. The product pages describe it as part of Kong’s broader AI connectivity platform, where API traffic, AI traffic, and real-time data are managed from one platform. Its core job is to centralize security, routing, observability, and cost control for AI requests. The source highlights capabilities such as semantic caching, token-based rate limiting, prompt and PII protections, quota management, and telemetry for AI usage and spend. ## O que Kong AI Gateway pode fazer? ### Unified AI traffic control Govern LLM, MCP, and agent-to-agent traffic through a single gateway so API and AI traffic can be managed together. ### Layered security and policy enforcement Apply PII sanitization, semantic prompt guards, access control, routing, and load balancing to AI requests. ### AI observability and telemetry Track token usage, AI consumption, tool usage, latency, errors, and cost with AI observability and metrics. ### Cost and quota controls Use semantic caching, token-based rate limiting, and quota management to control consumption and reduce unnecessary spend. ### MCP governance Generate and govern MCP servers and proxies, including auth for MCP access and context optimization. ### Agent-to-agent governance Manage multi-agent traffic with centralized AuthN/Z, auditability, and detailed telemetry on A2A calls. ## Casos de uso ### Control LLM access across teams Centralize governance for applications and agents that call multiple LLMs, so access, routing, and usage policies are enforced in one place. ### Operationalize MCP workflows Put MCP-backed agent workflows into production with server generation, auth enforcement, and context optimization. ### Govern multi-agent traffic Track and manage agent-to-agent communication with telemetry, auditability, and centralized authorization for multi-agent systems. ### Manage token usage and cost Reduce AI spend by applying semantic caching, rate limits, quotas, and cost analytics to token-heavy workloads. ### Protect sensitive AI traffic Apply PII sanitization, prompt guards, and observability to AI requests that handle sensitive or regulated data. ## Perguntas frequentes ### What does Kong AI Gateway do? Kong AI Gateway governs LLM, MCP, and agent-to-agent traffic through a single gateway. The source pages describe centralized access control, routing, observability, token controls, semantic caching, and guardrails for AI traffic. ### Is there a free trial or paid plan? The pricing page shows a free trial for Kong Konnect, a Plus plan billed per Gateway per month, and an Enterprise plan with custom annual pricing. AI Gateway capabilities such as paid plugins are included in Plus and Enterprise packaging details shown on the pricing page. ### Who is Kong AI Gateway for? The product pages describe AI traffic governance for developers and platform teams working with LLMs, MCP resources, and multi-agent systems. Kong positions the gateway for production AI infrastructure rather than consumer chat use. ### What kinds of AI workflows does it support? The source highlights centralized security, routing, observability, quota management, and cost controls. It also describes support for LLMs, MCP servers, and A2A traffic, but does not provide a complete public list of every supported model or deployment option on these pages. ## Informações rápidas - **Category**: AI gateway / API management - **Platform**: Kong Konnect platform - **Primary users**: Platform engineering, API teams, and AI application teams - **Domain**: konghq.com - **Pricing signal**: Free trial available; Plus and Enterprise packaging listed