Pytest Results Context FAQs

Question 1

How does it track test outcomes?

Accepted Answer

It records pytest session start and finish events, tracks individual test outcomes (passed, failed, skipped), and captures error details for failed tests.

Question 2

How does it maintain data accuracy?

Accepted Answer

Pytest Results Context clears historical test data to ensure that the LLMs are always working with the most up-to-date and accurate information.

Question 3

What is Pytest Results Context?

Accepted Answer

Pytest Results Context updates large language models with the latest pytest results, providing detailed information about test outcomes, durations, and errors.

Question 4

What SDKs are supported?

Accepted Answer

The tool uses both JavaScript and Python SDKs to ensure seamless integration with your existing testing infrastructure.

Question 5

What prerequisites are needed to use the tool?

Accepted Answer

Node.js v16 or higher, Python 3.8 or higher, and npm installed are required. Additionally, the Memory service (@modelcontextprotocol/server-memory) needs to be running.

Pytest Results Context

주요 기능

사용 사례

Pytest Results Context

주요 기능

사용 사례