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luciabouza
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Mar 5, 2026
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Perhaps the interesting part of the use case is that the model could perform a query, for example, and we could read the results with something like Pandas, and have the tool return only the information that is needed. While the tool in this example works and reads an Excel file, this approach is not very scalable if the Excel file is very large.
What would be interesting is to find an example where specific information can be extracted instead of returning the entire Excel file to the language model.
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Hi Mica! I tested this template but is not taking the attachments correctly |
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Summary
MessageAttachmentto load the file andopenpyxlto parse.xlsxcontentsheetandcell_rangeparametersTest plan
.xlsxfile in the platform chat and verify the agent reads it