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this article explains how to modify the name and settings of the test suite, manage user profiles and connections used for validation, edit or remove individual test cases, and delete the entire test suite or results.

during or after creating the test suite, you can edit test cases by changing the question wording or modifying expected answers, keywords, or tools as needed.

when creating a test suite, choose from different testing methods to evaluate agent responses. each testing method has its own advantages and is suitable for different types of assessments.

run reviews and analyze the results to optimize agent behavior and confirm that the agent meets your quality and business requirements.

copilot studio provides users with tools to continuously evaluate agent performance by running automated tests based on predefined test suites using the power platform rest api.

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when designing agents in copilot studio, use test cases to see how the agent guides the customer through the conversation. this is a good way to ensure the topics work and the conversation unfolds as you expect.

as ai agents take on a critical role in business processes, the need for reliable and repeatable testing becomes essential. agent evaluation allows you to create tests that simulate real-world scenarios for your agents.

evaluating individual responses is very useful when you want to test your agents on how they answer specific questions, on the functions they call, and on the precise wording they use in their responses.

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a crucial part of agent conversations in copilot studio is natural language comprehension, that is, the ability of the ai ​​to understand user intent.