PR Analysis

• 🎯 Main theme: Addition of a new feature for template-based prompting
• 📝 PR summary: This PR introduces a new feature for template-based prompting. It adds a new class, PromptEngine, which is responsible for loading and populating Jinja2 templates for prompts. The PR also includes the addition of new templates for the prompts.
• 📌 Type of PR: Enhancement
• 🧪 Relevant tests added: No
• 🔒 Security concerns: No security concerns found

PR Feedback

• 💡 General suggestions: The PR is well-structured and the code is clean. However, it would be beneficial to add some tests to ensure the new feature works as expected. Also, consider handling exceptions more specifically rather than catching a general Exception.

• 🤖 Code feedback:

  • relevant file: autogpt/sdk/prompting.py
    suggestion: Consider using a more specific exception instead of the general Exception. This can help in identifying and handling different types of errors more effectively. [important]
    relevant line: except Exception as e:

  • relevant file: autogpt/sdk/prompting.py
    suggestion: It would be beneficial to add a check to ensure that a match is found when getting the closest match. If no match is found, the function should handle this case appropriately. [important]
    relevant line: return matches[0]

  • relevant file: autogpt/sdk/prompting.py
    suggestion: Consider adding a docstring to the load_prompt method to provide a brief explanation of its purpose and functionality. [medium]
    relevant line: def load_prompt(self, template: str, **kwargs) -> str:

  • relevant file: autogpt/sdk/prompting.py
    suggestion: It would be beneficial to add some logging in the load_prompt method to track the progress and help in debugging. [medium]
    relevant line: return template.render(**kwargs)

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