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Filterset API version 0

James Vasile requested to merge filterset-api-v0 into main

This MR relates to #1 and gets us another step forward. We now take some description of filters from the front end and can pass it with a query to an OpenAI-style LLM, get a response, and return it.

Here's the next level of detail in what this patch set includes:

  • Put sample and exemplar data in json files on disk -- this will help with mocking I think
  • Convert front-end descriptions of filtersets into OpenAI function -- this probably doesn't work very well, but is a place from which we can start to iterate.
  • Iterate on testing filterset endpoint -- after mocking, we can start making this more real
  • Add a rudimentary mkdocs-based manual
  • Minor cleanups
Edited by James Vasile

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