The review tool can be configured with extra instructions, which can be used to guide the model to a feedback tailored to the needs of your project.

Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify the relevant sub-tool, and the relevant aspects of the PR that you want to emphasize.

Examples for extra instructions:

[pr_reviewer] # /review #
extra_instructions="""
In the 'possible issues' section, emphasize the following:
- Does the code logic cover relevant edge cases?
- Is the code logic clear and easy to understand?
- Is the code logic efficient?
...
"""

Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable.

• When you first install PR-Agent app, the default mode for the review tool is:

pr_commands = ["/review", ...]

meaning the review tool will run automatically on every PR, with the default configuration.
Edit this field to enable/disable the tool, or to change the used configurations

The review tool can auto-generate two specific types of labels for a PR:

• a possible security issue label, that detects possible security issues (enable_review_labels_security flag)
• a Review effort [1-5]: x label, where x is the estimated effort to review the PR (enable_review_labels_effort flag)

The review tool provides a collection of possible feedbacks about a PR.
It is recommended to review the possible options, and choose the ones relevant for your use case.
Some of the feature that are disabled by default are quite useful, and should be considered for enabling. For example:
require_score_review, require_soc2_ticket, and more.

By invoking:

/review auto_approve

The tool will automatically approve the PR, and add a comment with the approval.

To ensure safety, the auto-approval feature is disabled by default. To enable auto-approval, you need to actively set in a pre-defined configuration file the following:

[pr_reviewer]
enable_auto_approval = true

(this specific flag cannot be set with a command line argument, only in the configuration file, committed to the repository)

You can also enable auto-approval only if the PR meets certain requirements, such as that the estimated_review_effort is equal or below a certain threshold, by adjusting the flag:

[pr_reviewer]
maximal_review_effort = 5

To invoke the PR-Agent, add a comment using one of the following commands:

• /review: Request a review of your Pull Request.
• /describe: Update the PR title and description based on the contents of the PR.
• /improve [--extended]: Suggest code improvements. Extended mode provides a higher quality feedback.
• /ask <QUESTION>: Ask a question about the PR.
• /update_changelog: Update the changelog based on the PR's contents.
• /add_docs 💎: Generate docstring for new components introduced in the PR.
• /generate_labels 💎: Generate labels for the PR based on the PR's contents.
• /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component.

See the tools guide for more details.
To list the possible configuration parameters, add a /config comment.

When you first install the app, the default mode for the improve tool is:

pr_commands = ["/improve --pr_code_suggestions.summarize=true", ...]

meaning the improve tool will run automatically on every PR, with summarization enabled. Delete this line to disable the tool from running automatically.

Extra instructions are very important for the improve tool, since they enable to guide the model to suggestions that are more relevant to the specific needs of the project.

Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify relevant aspects that you want the model to focus on.

Examples for extra instructions:

[pr_code_suggestions] # /improve #
extra_instructions="""
Emphasize the following aspects:
- Does the code logic cover relevant edge cases?
- Is the code logic clear and easy to understand?
- Is the code logic efficient?
...
"""

Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable.

• While the current AI for code is getting better and better (GPT-4), it's not flawless. Not all the suggestions will be perfect, and a user should not accept all of them automatically.
• Suggestions are not meant to be simplistic. Instead, they aim to give deep feedback and raise questions, ideas and thoughts to the user, who can then use his judgment, experience, and understanding of the code base.
• Recommended to use the 'extra_instructions' field to guide the model to suggestions that are more relevant to the specific needs of the project, or use the custom suggestions 💎 tool
• With large PRs, best quality will be obtained by using 'improve --extended' mode.

To invoke the PR-Agent, add a comment using one of the following commands:

• /review: Request a review of your Pull Request.
• /describe: Update the PR title and description based on the contents of the PR.
• /improve [--extended]: Suggest code improvements. Extended mode provides a higher quality feedback.
• /ask <QUESTION>: Ask a question about the PR.
• /update_changelog: Update the changelog based on the PR's contents.
• /add_docs 💎: Generate docstring for new components introduced in the PR.
• /generate_labels 💎: Generate labels for the PR based on the PR's contents.
• /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component.

See the tools guide for more details.
To list the possible configuration parameters, add a /config comment.