feat(config): enhance configs with descriptions for fields#15
feat(config): enhance configs with descriptions for fields#15david20571015 merged 2 commits intomainfrom
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…eadability and usability of prompt templates and model configurations
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Hello @david20571015, 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!
Summary of Changes
This pull request enhances the configuration settings for the RAG (Retrieval-Augmented Generation) system by adding descriptions to the fields in the configuration classes. This will improve the clarity and usability of the configuration options, making it easier for users to understand and customize the system's behavior. The changes affect the QDrantConfig, RetrieveConfig, ChatGptConfig, and SummarizeConfig classes within the llm_backend/rag/config.py file.
Highlights
- Configuration Enhancement: Descriptions have been added to the fields of the configuration classes to provide more context and guidance to users.
- QDrant Configuration: Descriptions added for
host,port, andcollectionfields inQDrantConfigto clarify their purpose. - Retrieve Configuration: Descriptions added for
embedding_model,prompt_template, andsimilarity_top_kfields inRetrieveConfigto explain their function and default values. - ChatGpt Configuration: Descriptions added for
api_keyandmodelfields inChatGptConfigto provide information about the OpenAI API key and model selection. - Summarize Configuration: Descriptions added for
llm,system_template,user_template,query_str, andcontent_formatfields inSummarizeConfigto explain their role in the summarization process.
Changelog
- llm_backend/rag/config.py
- Added descriptions to
host,port, andcollectionfields inQDrantConfig(lines 49-64). - Added descriptions to
embedding_model,prompt_template, andsimilarity_top_kfields inRetrieveConfig(lines 69-90). - Added descriptions to
api_keyandmodelfields inChatGptConfig(lines 102-111). - Added descriptions to
llm,system_template,user_template,query_str, andcontent_formatfields inSummarizeConfig(lines 115-136).
- Added descriptions to
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A config's dark and deep,
But field descriptions we keep,
To guide the way,
So code can play,
And secrets the settings will peep.
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Code Review
The pull request enhances the configuration by adding descriptions to the fields, which improves the readability and maintainability of the code. The changes are well-structured and the descriptions are informative.
Merge Readiness
The code changes are well-structured and the descriptions are informative. I would recommend merging this pull request after addressing the comments. I am unable to directly approve the pull request, and users should have others review and approve this code before merging.
| description="Qdrant vector database port. Default is 6333.", | ||
| ) | ||
| collection: str = Field( |
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Consider adding a default value to the description for better clarity and user experience. Also, the link is in Chinese; consider providing an English alternative or mentioning that the linked page is in Chinese.
| description="Qdrant vector database port. Default is 6333.", | |
| ) | |
| collection: str = Field( | |
| description=( | |
| "Embedding model name. " | |
| "See https://huggingface.co/models?library=sentence-transformers&language=en for available models. " | |
| f"Default is '{DEFAULT_EMBEDDING_MODEL}'." | |
| ), |
| ] = Field( | ||
| DEFAULT_QUERY_PROMPT_TEMPLATE, | ||
| description="Prompt template for retrieval. Must contain the {keywords} placeholder.", |
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It's good to include a description for the prompt template, clarifying its purpose and the importance of the placeholder.
DEFAULT_QUERY_PROMPT_TEMPLATE,
description="Prompt template for retrieval. Must contain the {keywords} placeholder.",| description=( | ||
| "Number of top similar results to return during retrieval. " | ||
| f"Default is {DEFAULT_SIMILARITY_TOP_K}." | ||
| ), |
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The description for similarity_top_k is clear and helpful. Including the default value makes it even better.
"Number of top similar results to return during retrieval. "
f"Default is {DEFAULT_SIMILARITY_TOP_K}."
),
llm_backend/rag/config.py
Outdated
| default_factory=ChatGptConfig, # # type: ignore | ||
| description="Configuration for the LLM used for summarization.", |
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Using default_factory is a good practice for mutable default values. The description is also helpful.
llm: ChatGptConfig = Field(
default_factory=ChatGptConfig, # # type: ignore
description="Configuration for the LLM used for summarization.",| ] = Field( | ||
| DEFAULT_USER_TEMPLATE, | ||
| description="User prompt template for the LLM. Must contain {context_str} and {query_str} placeholders.", |
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The description for user_template is clear and concise, highlighting the required placeholders.
DEFAULT_USER_TEMPLATE,
description="User prompt template for the LLM. Must contain {context_str} and {query_str} placeholders.",Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Copilot reviewed 1 out of 1 changed files in this pull request and generated no comments.
Comments suppressed due to low confidence (2)
llm_backend/rag/config.py:49
- [nitpick] Consider standardizing the order of arguments in Field definitions across all config classes for improved readability and consistency.
class QDrantConfig(BaseSettings):
llm_backend/rag/config.py:52
- [nitpick] Ensure consistent formatting for default values in field descriptions; consider using uniform quoting for string defaults to enhance clarity.
description="Qdrant vector database host address. Default is 'test'.",
No description provided.