Fix Auto Prompt pipeline in sandbox

[HYLcool]

As the title says.

[gemini-code-assist]

Summary of Changes

Hello @HYLcool, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses an issue within the auto-prompt optimization pipeline in the sandbox environment. The primary goal is to enhance the precision of prompt optimization by tightening the target Mean Squared Error and integrating a dedicated message construction function tailored for Math QA grading. This ensures the pipeline accurately processes and evaluates prompts for mathematical question-answering tasks, alongside a minor documentation update for external resource attribution.

Highlights

• Prompt Optimization Target Refinement: The target Mean Squared Error (MSE) for the prompt optimization pipeline has been adjusted to a stricter value, changing from '0.26' to '0.2' to improve optimization accuracy.
• Specialized Message Building for Math QA: A new function, build_messages_for_math_qa, has been introduced and integrated into the pipeline. This function is specifically designed to construct messages for Math QA grading, correctly incorporating the question and answer.
• Documentation Update: Attribution comments have been added to flagged_words_filter.py to acknowledge the sources of the flagged words list used in the filter.

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[gemini-code-assist]

Code Review

This pull request fixes the Auto Prompt pipeline in the sandbox by updating the configuration and adding a new helper function. The changes include tightening the MSE target, implementing build_messages_for_math_qa to correctly format data for the grader model, and adding attribution for the flagged words list. The changes are logical and address the stated goal. I have one suggestion to improve maintainability in the new helper function.