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CONTRIBUTING.md

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Contributing

We appreciate your contributions!

Process

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Modifying and Running Code

  1. Make changes in operate/main.py
  2. Run pip install . again
  3. Run operate to see your changes

Testing Changes

After making significant changes, it's important to verify that SOC can still successfully perform a set of common test cases. In the root directory of the project, run:

python3 evaluate.py

This will automatically prompt operate to perform several simple objectives.
Upon completion of each objective, GPT-4v will give an evaluation and determine if the objective was successfully reached.

evaluate.py will print out if each test case [PASSED] or [FAILED]. In addition, a justification will be given on why the pass/fail was given.

It is recommended that a screenshot of the evaluate.py output is included in any PR which could impact the performance of SOC.

Contribution Ideas

  • Improve performance by finding optimal screenshot grid: A primary element of the framework is that it overlays a percentage grid on the screenshot which GPT-4v uses to estimate click locations. If someone is able to find the optimal grid and some evaluation metrics to confirm it is an improvement on the current method then we will merge that PR.
  • Improve the SUMMARY_PROMPT
  • Improve Linux and Windows compatibility: There are still some issues with Linux and Windows compatibility. PRs to fix the issues are encouraged.
  • Adding New Multimodal Models: Integration of new multimodal models is welcomed. If you have a specific model in mind that you believe would be a valuable addition, please feel free to integrate it and submit a PR.
  • Iterate --accurate flag functionality: Look at OthersideAI#57 for previous iteration
  • Enhanced Security: A feature request to implement a robust security feature that prompts users for confirmation before executing potentially harmful actions. This feature aims to prevent unintended actions and safeguard user data as mentioned here in this OtherSide#25

Guidelines

This will primarily be a Software 2.0 project. For this reason:

  • Let's try to hold off refactors into separate files until main.py is more than 1000 lines