AI Gateway

TL;DR Claude Code is one of the most powerful agentic coding tools available today, but it routes all requests through Anthropic's models by default. LLM gateways solve this by enabling multi-model routing, automatic failover, cost control, and observability. This article evaluates five leading gateways for Claude Code:

TL;DR Running Claude Code in production demands more than raw API calls. You need intelligent routing, automatic failover, cost controls, and observability. This article covers five leading AI gateways for routing Claude Code requests: Bifrost, LiteLLM, Cloudflare AI Gateway, Kong AI Gateway, and OpenRouter. Bifrost leads with sub-11 microsecond

Claude Code adoption is accelerating across enterprise engineering organizations. Anthropic reports that the tool averages approximately $6 per developer per day on API pricing, with team-level costs landing between $100 and $200 per developer per month on Sonnet. For a 200-person engineering team, that is $20,000 to $40,000

Claude Code has become a core part of how engineering teams write, review, and ship code. Anthropic reports that the average cost is approximately $6 per developer per day on API pricing, with daily costs remaining below $12 for 90% of users. At the team level, that translates to roughly

Claude Code is Anthropic's terminal-based AI coding agent. Out of the box, it connects to Anthropic's API and uses Claude models exclusively. This works well for many use cases, but production engineering teams often need more flexibility: the ability to route Claude Code traffic through alternative

As production AI applications scale, two infrastructure challenges dominate engineering budgets: redundant LLM API calls and inefficient provider routing. Organizations running high-volume inference workloads routinely overpay due to repeated queries hitting provider APIs instead of being served from cache, and static routing configurations that ignore real-time provider performance. AI gateways