Dialogflow V2 API - Class Google::Cloud::Dialogflow::V2::HumanAgentAssistantConfig::ConversationModelConfig (v0.34.0)

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Reference documentation and code samples for the Dialogflow V2 API class Google::Cloud::Dialogflow::V2::HumanAgentAssistantConfig::ConversationModelConfig.

Custom conversation models used in agent assist feature.

Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#baseline_model_version

def baseline_model_version() -> ::String

Returns

• (::String) — Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0

#baseline_model_version=

def baseline_model_version=(value) -> ::String

Parameter

• value (::String) — Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0

Returns

• (::String) — Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0

#model

def model() -> ::String

Returns

• (::String) — Conversation model resource name. Format: projects/<Project ID>/conversationModels/<Model ID>.

#model=

def model=(value) -> ::String

Parameter

• value (::String) — Conversation model resource name. Format: projects/<Project ID>/conversationModels/<Model ID>.

Returns

• (::String) — Conversation model resource name. Format: projects/<Project ID>/conversationModels/<Model ID>.