Agent framework debates are mostly vibes. One engineer swears LangGraph is faster, another prefers the OpenAI Agents SDK, someone wants Google ADK because it feels future-proof. The team picks one, wires the workflow into its SDK, and the choice is welded in. Changing frameworks later means tearing out the wiring for one SDK and rebuilding the workflow on another, an expensive rewrite few teams take on.This tutorial makes that decision reversible and then settles it with data. You put the agent graph in LaunchDarkly and run four frameworks (LangGraph, Strands, OpenAI Agents SDK, and Google ADK) over the same topology, with the model pinned so the framework is the only variable. A LaunchDarkly experiment ranks them on graph latency and token use, with an LLM judge guarding quality. The results table tells you which framework runs your graph fastest without degrading it.