AI网关正成为管理LLM交互的关键中间件，集中处理路由、安全和成本控制。这些平台旨在通过为不同的LLM提供商提供统一的API来简化开发，从而实现更轻松的模型切换并防止供应商锁定。关键评估标准包括治理范围、安全功能、可观测性、访问控制和部署灵活性，选项范围从基础设施优先的扩展到LLM原生解决方案。 AI
影响 AI网关对于管理LLM成本、安全性和提供商灵活性变得至关重要，从而简化了AI应用程序的开发和运营。
排序理由 该集群讨论了具体产品（AI网关）及其功能，比较了不同的供应商及其能力，这属于“工具”类别。
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
完整方法见我们的编辑标准。
<h2> What is an AI gateway? </h2> <p>An AI gateway is middleware between AI applications and the models, tools, and APIs they consume. It centralizes routing, security, access control, and observability in one place.</p> <p>Most teams back into needing one after the second or thi…
<p>Bottom line: when you're choosing between Vercel AI Gateway, OpenRouter and direct provider calls for cheapest multi-model routing, decide on one thing — how honestly the layer reports per-call cost and token usage — and ignore how many models each one lists. A gateway that re…
<p><em>An AI gateway unifies access to hundreds of LLM providers like OpenAI, Anthropic, and Google through a single, consistent API. For engineering teams, this means the ability to switch models without changing application code, which simplifies development and reduces vendor …
<h2> TL;DR </h2> <p>An AI gateway is one control plane for every LLM request your application makes, regardless of which provider serves it. Without one, the pieces scatter: provider keys in one place, rate limits in another, caching somewhere else, and separate homes for permiss…