Tests are automatically run via GitHub actions. There are two workflows:
  1. core-test.yml
  2. core-llm-test.yml
The first workflow is required to pass for all PRs (and it doesn’t do any OpenAI calls). The second workflow is required for changes that affect the OpenAI tests (and does actually call LLM). The second workflow requires approval to run. When writing tests that require OpenAI calls, please use pytest.mark.skipif to make them run in only when openai package is installed. If additional dependency for this test is required, install the dependency in the corresponding python version in core-llm-test.yml. Make sure all tests pass, this is required for core-test.yml checks to pass

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Running tests locally

To run tests, install the [test] option: 
pip install -e."[openai,test]"
Then you can run the tests from the test folder using the following command: 
bash scripts/test.sh test
Tests for the autogen.agentchat.contrib module may be skipped automatically if the required dependencies are not installed. Please consult the documentation for each contrib module to see what dependencies are required. See here for how to run notebook tests.

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Skip flags for tests

  • -m: Used to select or deselect specific groups of tests marked with pytest markers, such as tests for LLM services like OpenAI, Gemini etc. For example, you can mark tests with @pytest.mark.openai and then use -m openai to run only those tests.
  • -m "not docker": Skips tests that explicitly require Docker.
  • -m "not redis": Skips tests that require a Redis server.
Examples: To skip tests that require access to LLM services and Docker, run: 
bash scripts/test-core-skip-llm.sh -m "not docker"
To run tests for all LLM services (OpenAI, Gemini, etc.), use: 
bash scripts/test-core-llm.sh
To run tests specifically for the OpenAI LLM service, use: 
bash scripts/test-core-llm.sh -m "openai"

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Coverage

Any code you commit should not decrease coverage. To ensure your code maintains or increases coverage, use the following commands after installing the required test dependencies: 
pip install -e ."[openai,test]"

bash scripts/test.sh test --cov-report=html
Pytest generated a code coverage report and created a htmlcov directory containing an index.html file and other related files. Open index.html in any web browser to visualize and navigate through the coverage data interactively. This interactive visualization allows you to identify uncovered lines and review coverage statistics for individual files.
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