Integrating ChatGPT with HttpRunner for Agile API Automation Testing

The article introduces a method for software test engineers to combine ChatGPT with the HttpRunner framework to achieve agile automated testing, beginning with an overview of the challenges faced during commercial DevOps product delivery, such as diverse client environments and limited manpower for regression testing.

It explains why the team selected HttpRunner for its speed, flexibility, and ease of use, enabling rapid interface automation across different customer sites after environment deployment.

The core workflow is described as three steps: "point" – recording business operations on the web front‑end to generate an automation script with a single command; "change" – batch‑replacing repetitive content, extracting variables, and adding assertions manually; and "check" – running, debugging, and fixing the script, highlighting HttpRunner’s simplicity compared to traditional tools.

An example demonstrates creating a team space, exporting the captured HAR file, and using HttpRunner to generate a test script, followed by parameterizing URLs, headers, and cookies, and adding business‑specific assertions before execution.

The article then shows how ChatGPT can generate test cases from interface specifications, especially for exception scenarios that cannot be recorded, and how it can translate those cases into HttpRunner scripts, allowing iterative refinement of both test data and script code.

Execution is performed with a command such as hrun .\testcases\space\space\createSpaceCardDemo_test.py --html=reports\index.html , producing an HTML report; current limitations include only basic status‑code assertions.

In conclusion, the combination of ChatGPT and HttpRunner dramatically simplifies API test case creation and script generation, making automation accessible and paving the way for more sophisticated testing as AI capabilities evolve.