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Contributing
This project welcomes and encourages all forms of contributions, including but not limited to:
- Pushing patches.
- Code review of pull requests.
- Documentation, examples and test cases.
- Readability improvement, e.g., improvement on docstr and comments.
- Community participation in issues, discussions, discord, and twitter.
- Tutorials, blog posts, talks that promote the project.
- Sharing application scenarios and/or related research.
Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
If you are new to GitHub here is a detailed help source on getting involved with development on GitHub.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
How to make a good bug report
When you submit an issue to GitHub, please do your best to follow these guidelines! This will make it a lot easier to provide you with good feedback:
-
The ideal bug report contains a short reproducible code snippet. This way anyone can try to reproduce the bug easily (see this for more details). If your snippet is longer than around 50 lines, please link to a gist or a GitHub repo.
-
If an exception is raised, please provide the full traceback.
-
Please include your operating system type and version number, as well as your Python, autogen, scikit-learn versions. The version of autogen can be found by running the following code snippet:
import autogen
print(autogen.__version__)
- Please ensure all code snippets and error messages are formatted in appropriate code blocks. See Creating and highlighting code blocks for more details.
Becoming a Reviewer
There is currently no formal reviewer solicitation process. Current reviewers identify reviewers from active contributors. If you are willing to become a reviewer, you are welcome to let us know on discord.
Guidance for Maintainers
General
- Be a member of the community and treat everyone as a member. Be inclusive.
- Help each other and encourage mutual help.
- Actively post and respond.
- Keep open communication.
Pull Requests
- For new PR, decide whether to close without review. If not, find the right reviewers. The default reviewer is microsoft/autogen. Ask users who can benefit from the PR to review it.
- For old PR, check the blocker: reviewer or PR creator. Try to unblock. Get additional help when needed.
- When requesting changes, make sure you can check back in time because it blocks merging.
- Make sure all the checks are passed.
- For changes that require running OpenAI tests, make sure the OpenAI tests pass too. Running these tests requires approval.
- In general, suggest small PRs instead of a giant PR.
- For documentation change, request snapshot of the compiled website, or compile by yourself to verify the format.
- For new contributors who have not signed the contributing agreement, remind them to sign before reviewing.
- For multiple PRs which may have conflict, coordinate them to figure out the right order.
- Pay special attention to:
- Breaking changes. Don’t make breaking changes unless necessary. Don’t merge to main until enough headsup is provided and a new release is ready.
- Test coverage decrease.
- Changes that may cause performance degradation. Do regression test when test suites are available.
- Discourage change to the core library when there is an alternative.
Issues and Discussions
- For new issues, write a reply, apply a label if relevant. Ask on discord when necessary. For roadmap issues, add to the roadmap project and encourage community discussion. Mention relevant experts when necessary.
- For old issues, provide an update or close. Ask on discord when necessary. Encourage PR creation when relevant.
- Use “good first issue” for easy fix suitable for first-time contributors.
- Use “task list” for issues that require multiple PRs.
- For discussions, create an issue when relevant. Discuss on discord when appropriate.
Developing
Setup
git clone https://github.com/microsoft/autogen.git
pip install -e autogen
Docker
We provide a simple Dockerfile.
docker build https://github.com/microsoft/autogen.git#main -t autogen-dev
docker run -it autogen-dev
Develop in Remote Container
If you use vscode, you can open the autogen folder in a Container. We have provided the configuration in devcontainer. They can be used in GitHub codespace too. Developing AutoGen in dev containers is recommended.
Pre-commit
Run pre-commit install
to install pre-commit into your git hooks. Before you commit, run
pre-commit run
to check if you meet the pre-commit requirements. If you use Windows (without WSL) and can't commit after installing pre-commit, you can run pre-commit uninstall
to uninstall the hook. In WSL or Linux this is supposed to work.
Write tests
Tests are automatically run via GitHub actions. There are two workflows:
The first workflow is required to pass for all PRs. The second workflow is required for changes that affect the openai tests. The second workflow requires approval to run. When writing tests that require openai, please use pytest.mark.skipif
to make them run in one python version only when openai is installed. If additional dependency for this test is required, install the dependency in the corresponding python version in openai.yml.
Coverage
Any code you commit should not decrease coverage. To run all unit tests, install the [test] option:
pip install -e."[test]"
coverage run -m pytest test
Then you can see the coverage report by
coverage report -m
or coverage html
.
Documentation
To build and test documentation locally, install Node.js. For example,
nvm install --lts
Then:
npm install --global yarn # skip if you use the dev container we provided
pip install pydoc-markdown # skip if you use the dev container we provided
cd website
yarn install --frozen-lockfile --ignore-engines
pydoc-markdown
yarn start
The last command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Note: some tips in this guide are based off the contributor guide from flaml.