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>.