Application developers may want to test their code with simulated responses, including errors, from an object of type ConversationModelsClient. To do so, construct an object of type ConversationModelsClient with an instance of this class. Then use the Google Test framework functions to program the behavior of this mock.
See Also
This example for how to test your application with GoogleTest. While the example showcases types from the BigQuery library, the underlying principles apply for any pair of *Client and *Connection.
Functions
virtual options()
This function is implemented using gMock's MOCK_METHOD().
Consult the gMock documentation to use this mock in your tests.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-05-07 UTC."],[[["This document outlines the `MockConversationModelsConnection` class, which is designed to facilitate testing of code interacting with `ConversationModelsClient` by simulating responses and behaviors."],["The latest release candidate version available is `2.37.0-rc`, and there are versions all the way back to `2.11.0` available to view."],["The class leverages gMock's `MOCK_METHOD()` for various functions, enabling users to program mock behaviors in their tests."],["The `MockConversationModelsConnection` class provides mock implementations for functions such as `CreateConversationModel`, `GetConversationModel`, `ListConversationModels`, and others related to managing and evaluating conversation models."],["It provides a link to an example of how to use Google test in the context of BigQuery, however the principles apply to any pair of `*Client` and `*Connection`."]]],[]]
