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TL;DR * An AI gateway sits between applications and LLM providers, handling routing, failover, cost governance, and observability through one API; direct provider integrations stop scaling once deployments span multiple models and agents. * Evaluate a production gateway on latency overhead, failover and resilience, governance depth, deployment model, and MCP support,

TL;DR * Cloudflare AI Gateway is a hosted edge proxy, so it cannot be deployed inside a customer VPC or an air-gapped environment, which rules it out for many regulated workloads. * Bifrost is the strongest enterprise alternative, adding 11 microseconds of overhead per request at 5,000 requests per

TL;DR * LLM costs are driven by token volume rather than provisioned capacity, so they can rise by an order of magnitude in a day with no deployment change. * Bifrost enforces budgets at four independent levels (customer, team, virtual key, provider config), and blocks a request when any applicable budget