public sealed class HumanAgentAssistantConfig.Types.ConversationModelConfig : IMessage<HumanAgentAssistantConfig.Types.ConversationModelConfig>, IEquatable<HumanAgentAssistantConfig.Types.ConversationModelConfig>, IDeepCloneable<HumanAgentAssistantConfig.Types.ConversationModelConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Google Cloud Dialogflow v2beta1 API class HumanAgentAssistantConfig.Types.ConversationModelConfig.
Custom conversation models used in agent assist feature.
Version of current baseline model. It will be ignored if
[model][google.cloud.dialogflow.v2beta1.HumanAgentAssistantConfig.ConversationModelConfig.model]
is set. Valid versions are:
Article Suggestion baseline model:
[[["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 2025-04-02 UTC."],[[["This document provides reference documentation for the `HumanAgentAssistantConfig.Types.ConversationModelConfig` class within the Google Cloud Dialogflow v2beta1 API, specifically for .NET."],["The `ConversationModelConfig` class is utilized for custom conversation models in the agent assist feature, supporting functionalities like article suggestion, smart compose, smart reply, and conversation summarization."],["This class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, providing functionalities for message handling, equality comparison, deep cloning, and buffer message operations."],["The class offers two constructors, one default and another that takes an existing `ConversationModelConfig` object to copy, with the second constructor taking a `HumanAgentAssistantConfig.Types.ConversationModelConfig` as a parameter."],["It includes two properties, `BaselineModelVersion` and `Model`, allowing users to set the version of the baseline model and specify the conversation model resource name, respectively, with the supported versions for the properties outlined."]]],[]]
