Fix prompt function to respect configured LLM model

[github-actions]

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I modified the prompt function assignment in _terminal.py to use functools.partial for setting the model parameter. This change ensures that the configured LLM model (Config.llm_name) is properly passed to the prompt function, fixing the issue where git-bob was always using default models and ignoring the configuration. The modification involved importing the functools module and wrapping the prompt function assignment with functools.partial to bind the model parameter with the configured LLM name.

• src/git_bob/_terminal.py Modified prompt function assignment to use functools.partial for setting the model parameter with Config.llm_name

closes #551

[haesleinhuepf]

Almost perfect! instead of importing functools, please import partial only.

git-bob implement this

[github-actions]

^{This message was generated by git-bob (version: 0.18.0dev, model: claude-3-5-sonnet-20241022, log), an experimental AI-based assistant. It can make mistakes and has limitations. Check its messages carefully.}

I modified the import statement in _terminal.py to directly import 'partial' from functools instead of importing the entire functools module, as requested in the comment. This change maintains the same functionality where the prompt function is configured with the correct LLM model using partial, but makes the import statement more specific and cleaner.

• src/git_bob/_terminal.py Changed 'import functools' to 'from functools import partial' and updated the corresponding usage in the prompt function assignment.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 59.00%. Comparing base (843f0f7) to head (2b1d4f6).
Report is 5 commits behind head on main.

Additional details and impacted files

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##             main     #552   +/-   ##
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  Coverage   59.00%   59.00%           
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  Files          14       14           
  Lines        1815     1815           
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  Hits         1071     1071           
  Misses        744      744           

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