feat: [KAIZEN] add a notebook to analyse kaizen sessions with llm

[tiagoarodrigues55]

No description provided.

[nikoszaf41]

@tiagoarodrigues55 thanks for sharing your code for the analysis! 🚀

From my initial review, it looks like this notebook retrieves session data for specific brains and generates a summary for each session using an Azure deployment of ChatGPT.

A few suggestions for improvement:

1. Remove Kaizen References
   To keep the notebook customer-agnostic, let’s remove any references to Kaizen. The goal is to provide general guidance on summarizing sessions rather than tying it to a specific use case.
2. Clarify the Notebook Name
   Consider renaming the notebook to something more descriptive, like generate_session_summary.ipynb, to clearly convey its purpose.
3. Refine the Notebook Structure
   • Functions should be used only for reusable code. Otherwise, it’s better to keep the logic in separate code blocks with brief descriptions to guide the reader.
   • Instead of defining everything first and calling a single function at the end, structure the notebook so that code runs sequentially in a way that naturally follows the workflow. This will improve readability and make it easier to follow.
4. Standardize Comments to English
   Ensure that all comments in the notebook are written in English for consistency and accessibility.

[nikoszaf41]

Clear the outputs before making the commit.
We want the notebook to contain all the necessary information to run the analysis.
Data from actual sessions may contain sensitive data and they don't actually help the reader of the notebook.