AI Mentor memory integration

[milesha]

Motivation

To persist the contest of the conversation correctly the mentor requires memory: short-term for the single conversation persistence and long-term for the cross-session information sharing.

Description

https://confluence.ase.in.tum.de/x/zTMfDg - a summary of key concepts used in the PR with corresponding links to the official LangGraph documentation

• Prompts are now stored as .txt files within a designated prompts directory and dynamically loaded by the graph nodes at runtime as required.
• Closed sessions are automatically closed and can't be continued.
• After a conversation a summary is generated and given to the user to check and save.

Testing Instructions

Screenshots (if applicable)

Checklist

General

• PR title is clear and descriptive
• PR description explains the purpose and changes
• Code follows project coding standards
• Self-review of the code has been done
• Changes have been tested locally
• Screenshots have been attached (if applicable)
• Documentation has been updated (if applicable)

Client (if applicable)

• UI changes look good on all screen sizes and browsers
• No console errors or warnings
• User experience and accessibility have been tested
• Added Storybook stories for new components
• Components follow design system guidelines (if applicable)

Server (if applicable)

• Code is performant and follows best practices
• No security vulnerabilities introduced
• Proper error handling has been implemented
• Added tests for new functionality
• Changes have been tested in different environments (if applicable)