Every agent starts simple: one model, one SDK, a demo that works. Then comes the second provider, the MCP tools, the fallback logic, the rate-limit backoff — and suddenly half your codebase is integration glue that has nothing to do with what your agent actually does. Agent Router — newly donated to the Agentic AI Foundation, with a 1.0 GA release and production deployments at scale — collapses all of it into a single integration: every model, every tool, one declarative API. We'll walk through a live agent workload end-to-end: routing across model providers with automatic failover; understanding exactly what each agent and team spends — and capping it before it surprises you; and choosing which MCP tools each agent can see and call. All declared in one place, none of it in your application code. You'll leave knowing exactly where a router fits in your agent stack, what it takes to run one in production, and how to get involved in the Agent Router project.
