[kurthr]

I feel like what I want is a LLM that can tell me not only a summary answer, but what search terms are most likely to return documentation for the answer. Provide clickable citations documenting the answer using those terms (it can iterate on the answer and terms if they aren't internally consistent). Then give summaries of the information at each citation and/or parameters to input if the response requires further operations/searches. It could provide some commentary of the quality of those citation/sources as well.

That makes the response more current, allows a further directed search based on the new parameters, and provides a traceable path to sources and citations. If it finds that there's not a Python library with that name then iterate.

Basically, an LLM should have a very good idea what good search terms are for the topic, and where to find the information, whereas I might not know the acronyms, jargon, or related fields.

Yes, this is getting pretty close to writing an 8th grade class report. That's about where these seem to be.