Reliable Multi-Agent Workflows with Kong AI Gateway
Blog post from Kong
Kong AI Gateway is presented as connectivity infrastructure for production multi-agent systems, positioned between agents and the external tools, APIs, databases, models, and other agents they use for context retrieval and state-changing actions. It addresses operational issues such as unreliable upstream services, limited visibility into agent decisions, model-based access control, and slow repeated retrievals through centralized policies including retries, timeouts, circuit breakers, rate limiting, semantic caching, authentication, authorization, and structured observability. The platform also supports LLM-agnostic routing with provider fallback, load balancing, and cost controls. Examples describe financial-services and developer-tools teams using these capabilities to reduce retrieval latency, avoid workflow failures, create audit trails, and enforce permissions independently of model behavior, including prompt-injection risks.
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