Building an AI agent in Python can be as easy as giving a model some tools and letting it figure out the rest.

Most agent setups start the same way: you wire up tool calls, manage retries, track state, and write the routing logic that decides what happens when. It works, but it's brittle. Every time the workflow changes, you're back in the code...