fix: update model parameters to ensure concise responses, clearn head…

[daviddigital]

update model parameters to ensure concise responses, clear headings and link to cody labs website

[github-actions]

AI Code Review by Cody (https://codylabs.io/)

Summary of Change

The pull request aims to update the prompt in the review_pull_request function to ensure that responses are more structured, concise, and consistent in how they handle GitHub formatting and headings. The changes introduce a specific format for the prompt to enhance clarity.

Code Review

Functional Improvements

• The revised prompt ensures that the responses follow a clear structure, which will enhance readability and maintain consistent communication standards in code reviews.

Clarity and Formatting

• Including a link to Cody Labs in the response is a useful addition for users who might want additional context or resources.
• Specifying the headings and format explicitly within the prompt makes the code review responses predictable and standardized, which is a positive change.

Minor Typos and Inconsistencies

• There's a minor typo in the word "sumamry"; it should be "summary." This doesn't affect functionality but could be corrected for precision.

Security Considerations

• The change does not introduce any new security risks as it only refines text formatting within a prompt.

Overall Assessment

Overall, the changes enhance the readability and clarity of automated code review responses without affecting the underlying functionality or security of the application. The introduced structure will likely make review feedback more actionable and easier to digest.

Recommendations

• Correct the typo from "sumamry" to "summary."

The changes are sound and limited to improving the format, so they can be safely merged after addressing the typo.

[github-actions]

AI Code Review by Cody (https://codylabs.io/)

Summary of Change

The change updates the model parameters to ensure responses are concise and headings are clear. It also includes a link to Cody Labs' website in the response format.

Code Review

1. Functionality

   • The updated prompt now provides a more detailed guideline for generating response formats and links to Cody Labs' website. This should improve the clarity and usability of responses.
   • The inclusion of an example of response headings (Summary of Change, Code Review) is a good practice to ensure consistency.

2. Security

   • There are no apparent security issues introduced by this change. It modifies only the string used for generating response prompts.

3. Clarity and Conciseness

   • The revised prompt string is clear and helps ensure that responses remain consistent and focused on important aspects. This aligns well with the intended purpose and should help produce more useful code reviews.

Suggestions for Improvement

• Consider adding error handling for the query_openai function to address any potential failures or unexpected responses from the API.
• To further enhance clarity, you could add a brief comment in the code describing the purpose of the prompt and what it aims to achieve with the model responses.

Overall, the changes are logical and well-targeted towards improving the quality of code reviews generated by the system.

[github-actions]

AI Code Review by Cody (https://codylabs.io/)

Summary of Change

The code modifies the prompt for review_pull_request.py to ensure clear directives are given for formatting a code review. The new prompt includes a link to Cody Labs website and additional instructions to ensure concise responses and relevant headings in the review.

Code Review

Functionality

• Enhancement Validity: The updated prompt is clear and structured, which should improve the consistency and quality of the reviews generated by the AI.
• Conciseness: The rephrased prompt is more detailed and precise, which helps in generating a well-structured response.

Security

• Injection Vulnerability: Ensure that the string interpolations with pr_data.title, pr_data.description, and pr_data.diff are properly sanitized to avoid potential injection vulnerabilities. This can be handled by escaping special characters or validating content.

import html
...
prompt = (
    f"Review this code like a senior software engineer at Google. "
    f"Respond in a clear and concise github format with relevant headings (supports markdown) but do not start with ```markdown as it will break the github formatting. Start your response with 'AI Code Review by Cody (https://codylabs.io/)', a summary of the change under the heading 'Summary of Change', and then jump straight into a standard code review under the heading 'Code Review'. Be concise, focus on important aspects such as functionality and security and ignore nitpicks where possible. Provide code suggestions using markdown format."
    f"Title: {html.escape(pr_data.title)}\nDescription: {html.escape(pr_data.description)}\nChanges: {html.escape(pr_data.diff)}"
)
...

Overall

• Quality Improvement: The changes overall seem beneficial, specifying clear and concise guidelines for the AI-generated reviews.
• Security Measures: Adding HTML escaping ensures that any potentially harmful characters are neutralized.

Feel free to reach out if there are any questions or further clarifications needed.

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