Chat Model Prompter and Python

Hello!

I’m having fun exploring the opportunities afforded by your great Azure Open AI integration, but have hit a snag.

I was looping through table rows to get responses, but it was a bit slow because I want it to produce output from eight queries on one page for a user to review. I created a component and made seven copies to parallelize the operation, but some of my components return this error:

Contains one node with execution failure (Chat Model Prompter #1825)

Chat Model Prompter #1825: Failed to initialize Python gateway.

Should I take this as as KNIME’s way of telling me to be patient and go back to using a loop, or is there a way around the issue?

(I know I could orchestrate using flow variable connectors, but that would be the same as a loop, just more ugly!)