ADAPTER

FlowiseAI

Drag-and-drop, which is a real deployment model whether or not you like it.

What it is

A visual builder. Nodes on a canvas, connections between them, deployed as an endpoint. Widely used by people who are not going to write Python for this, which is a large and legitimate population.

What goes wrong

The canvas shows you the flow you designed. It does not show you the flow that executed. Conditional branches and tool selection happen at runtime, and the diagram looks identical whether the right branch fired or the wrong one did.

What the adapter does

Consumes the REST and SSE interfaces to build causal history from outside the process, then reconciles execution against the flow as designed.

adapter = FlowiseAdapter("app", base_url=url, chatflow_id=id)

Caveat

This is the one out-of-process adapter here, so fidelity depends on what the stream exposes. Everything else instruments from inside and sees more.