Kamya Shah

LLM routers have become essential infrastructure for any team running AI in production. They sit between your application and model providers, handling failover, cost optimization, and unified API access so you don't have to. Bifrost- an open-source AI gateway by Maxim AI unifies LLM, MCP, and agent

TL;DR Helicone is a solid observability-first AI gateway, but teams with demanding production workloads often need more from their routing layer. This article covers five Helicone alternatives worth evaluating in 2026: Bifrost (fastest open-source gateway at 11 µs overhead), LiteLLM (Python-native with the widest provider coverage)

TL;DR Claude Code adoption is surging across enterprise engineering teams, but scaling it beyond a handful of developers creates real operational challenges: runaway costs, zero per-developer spend visibility, and no centralized governance. An enterprise AI gateway solves this by sitting between your Claude Code instances and AI providers,

TL;DR: Open source AI gateways have become essential infrastructure for production LLM applications. In 2026, the field has consolidated around a few serious contenders, but Bifrost leads the pack with 11µs overhead at 5,000 RPS, built-in MCP support, semantic caching, governance, and zero-config startup. Written in

TL;DR Every token your LLM consumes costs money and adds latency. As enterprise AI spending scales past billions, optimizing token usage at the gateway layer has become non-negotiable. This article breaks down how five leading AI gateways, Bifrost, LiteLLM, Kong AI Gateway, Cloudflare AI Gateway, and TensorZero, approach