AI suggestions for Python in PR #9

[jpablo-cs]

AI-generated suggestions for the Python code in pull request #9:

1. Use environment variables for configuration instead of hardcoding values in the app (e.g., host, port).
2. Add error handling/logging for Flask routes to capture unexpected server errors more robustly.
3. Consider using Marshmallow or Pydantic for request validation and serialization to simplify API parameter handling.
4. Improve test coverage by adding unit tests for Flask endpoints to ensure edge cases are handled.
5. Use Flask blueprints to modularize routes as the application grows for better maintainability and readability.
6. Replace generic Exception in api_sum with custom error handling to avoid hiding specific bugs.
7. Add type hints for improved code clarity and easier static analysis.

These suggestions aim to enhance code maintainability, robustness, and scalability in the Python codebase of the PR.