LiteLLM 与 Bifrost:哪个 AI 网关更适合企业团队?

📄 中文摘要

随着 AI 应用从原型转向生产系统,应用与 LLM 提供商之间的基础设施层变得至关重要。AI 网关通过提供统一的控制平面,实现多模型路由、自动故障转移、成本治理和集中可观测性,解决了这一问题。LiteLLM 和 Bifrost 是 2026 年最受关注的开源 AI 网关,它们都提供与 OpenAI 兼容的接口,以便在多个提供商之间路由请求。然而,它们在架构上采取了根本不同的方法,这些差异在企业规模下显得尤为重要。LiteLLM 和 Bifrost 在性能、治理、可观测性和生产准备度方面的比较,有助于企业团队选择合适的网关。

📄 English Summary

LiteLLM vs Bifrost: Which AI Gateway Is Right for Enterprise Teams?

As AI applications transition from prototypes to production systems, the infrastructure layer between applications and LLM providers becomes critical. AI gateways address this by providing a unified control plane for multi-model routing, automatic failover, cost governance, and centralized observability. LiteLLM and Bifrost are two of the most discussed open-source AI gateways in 2026, both offering an OpenAI-compatible interface for routing requests across multiple providers. However, they adopt fundamentally different architectural approaches, which significantly impact their performance, governance, observability, and production readiness at enterprise scale. This comparison aids enterprise teams in selecting the right gateway.

Powered by Cloudflare Workers + Payload CMS + Claude 3.5

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