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I'm glad I could help! Your enthusiasm for exploring DSL in prompts is fantastic. Now, let's dive into translating this JavaScript-based system prompt with DSL swapping into a Pythonic version. Before we start the translation, let's consider the key conversion points:

1. Syntax differences:

  - JavaScript uses camelCase, while Python typically uses snake_case for variable and function names.
  - Python uses indentation for code blocks instead of curly braces.
  - Python uses `True`, `False`, and `None` instead of `true`, `false`, and `null`.

2. Data structures:

  - JavaScript objects will become Python dictionaries.
  - JavaScript arrays will become Python lists.

3. String formatting:

  - We'll use Python's f-strings for string interpolation instead of template literals.

4. Function definitions:

  - We'll use `def` instead of `function` keyword.

5. Console output:

  - We'll use `print()` instead of `console.log()`.

6. JSON handling:

  - We'll need to import the `json` module to handle JSON stringification.

7. Variable declarations:

  - Python doesn't use `const` or `let`. We'll just declare variables directly.

8. Template string replacement:

  - We'll use a different approach for replacing content in the template string, possibly using `.format()` or f-strings.

9. Error handling:

  - We might want to use Python's try-except blocks for error handling.

10. Module structure:

   - We might want to structure this as a Python module with a main function and if `__name__ == "__main__"` block.

11. Type hinting:

   - We could add Python type hints to improve code readability and maintainability.

These considerations will guide our translation process, ensuring that we create a Pythonic version that's not just a direct syntax translation, but a version that feels natural and idiomatic in Python.

Would you like me to proceed with the translation based on these considerations?