Sweep: Choose your style of answer

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PR Feedback: 👎

Description

This pull request introduces a new feature that allows users to specify the style of answers they prefer when interacting with the Constitutional AI and QA Generation components of the LangChain library. By leveraging a new configuration file, prompt_style_config.json, users can now choose between concise, detailed, or gender-neutral styles for the AI's responses. This enhancement aims to provide a more customizable and inclusive user experience.

Summary

• Added json import in prompts.py and prompt.py to enable reading from the new configuration file.
• Introduced a new configuration file prompt_style_config.json under myenv2/lib/python3.11/site-packages/langchain/chains/ directory, which contains predefined styles (concise, detailed, gender-neutral) along with their options (use_gender_neutral_terms, detail_level).
• Modified prompts.py and prompt.py to load the style configuration upon initialization, allowing the Constitutional AI and QA Generation components to adapt their output according to the selected style.

This update enhances the flexibility and inclusivity of the LangChain library by providing users with the ability to tailor the AI's response style to their preferences.

Fixes #4.

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Rollback Files For Sweep

• [ ] Rollback changes to myenv2/lib/python3.11/site-packages/langchain/chains/prompt_style_config.json
• [ ] Rollback changes to myenv2/lib/python3.11/site-packages/langchain/chains/qa_generation/prompt.py
• [ ] Rollback changes to myenv2/lib/python3.11/site-packages/langchain/chains/constitutional_ai/prompts.py

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Apply Sweep Rules to your PR?

• [ ] Apply: All new business logic should have corresponding unit tests.

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Fixing PR: track the progress here.

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I'm currently fixing this PR to address the following:

The recent changes introduced to the Langchain library, specifically within the `constitutional_ai/prompts.py` and `qa_generation/prompt.py` files, involve loading and utilizing a new JSON configuration file (`prompt_style_config.json`). This addition constitutes new business logic that requires thorough testing to ensure its correctness and stability. **Action Required:** - Develop unit tests for the new business logic introduced in the following files: - `myenv2/lib/python3.11/site-packages/langchain/chains/constitutional_ai/prompts.py` - `myenv2/lib/python3.11/site-packages/langchain/chains/qa_generation/prompt.py` - Ensure that the tests cover various scenarios, including but not limited to: - Successful loading of the `prompt_style_config.json` file. - Handling of potential errors during file loading (e.g., file not found, invalid JSON). - Correct application of the loaded configuration to the business logic. By implementing comprehensive unit tests, we can safeguard the functionality and reliability of the Langchain library as it evolves. Please refer to the project's testing guidelines for more information on how to structure and implement these tests effectively. This issue was created to address the following rule: All new business logic should have corresponding unit tests.

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