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The docs are missing any examples of what this does, instead showing _how_ it works - and only for the codebase itself, rather than the behavior of the app.

What would be useful:

  - examples of text that can be filtered, and why that would be valuable
  - a data flow diagram of runtime behavior, showing how filtering removes unnecessary context
 help



Thanks for your feedback. Will put this in place. Meanwhile, please checkout architecture doc and plugin. The plugin doc could a little bit giving insight of what it does.

I have to agree. I’m interested in the project, so congrats. It’s something I might really like using.

But the one thing I expected to see in the Readme was an example of: takes this tool run output: XXXXXX and converts it to: XX for a savings of 40% of tokens.

This looks like a nice (and useful) project, so thanks for sharing!


Thanks for your effort! I also think having examples of raw output before vs after using lowfat would be useful as well

Got it! thanks for your feedback.



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