Kamya Shah

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 token

TL;DR: Claude Code is a powerful agentic coding tool, but it's locked to Anthropic's models by default. Bifrost, an open-source AI gateway by Maxim AI, lets you route Claude Code requests through any LLM provider, including OpenAI, Google Gemini, Mistral, and more, with a simple

TL;DR: Claude Code is a powerful terminal-based coding agent, but managing multiple MCP servers alongside it creates tool sprawl and security gaps. Bifrost, the open-source LLM gateway by Maxim AI, acts as an MCP gateway that centralizes tool connections, governance, and observability for Claude Code. Route all your Claude

TL;DR: Claude Code adoption is accelerating across engineering teams, but its token-based pricing can spiral without proper controls. Anthropic's built-in /cost command offers basic visibility, but enterprise teams need more: per-developer budgets, team-level attribution, multi-provider cost tracking, and automated spend enforcement. Bifrost, the open-source AI gateway by