Maxim has released Bifrost, an open-source LLM gateway designed to manage the operational headaches that arise when moving AI demos to production. It provides a single API to route requests across providers like OpenAI, Anthropic, Bedrock, and Vertex, addressing issues like unpredictable latency, provider outages, and poor visibility.

Built in Go, Bifrost targets high-throughput environments where gateway overhead can cripple performance. The team claims its internal benchmarks show up to 40x better performance than common Python-based proxies. It bundles adaptive load balancing, automatic failover, and retry logic directly into the infrastructure layer.

Observability is a core feature, offering built-in metrics and tracing to track model usage, failures, and costs without custom code. For teams scaling AI products, Bifrost aims to decouple developers from single providers and give infra teams predictable performance. The gateway is available on GitHub for immediate integration.