Reference documentation and code samples for the Data Analytics API with Gemini V1 API class Google::Cloud::GeminiDataAnalytics::V1::ConversationOptions.
Options for the conversation.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#analysis
def analysis() -> ::Google::Cloud::GeminiDataAnalytics::V1::AnalysisOptions
Returns
- (::Google::Cloud::GeminiDataAnalytics::V1::AnalysisOptions) — Optional. Options for analysis.
#analysis=
def analysis=(value) -> ::Google::Cloud::GeminiDataAnalytics::V1::AnalysisOptions
Parameter
- value (::Google::Cloud::GeminiDataAnalytics::V1::AnalysisOptions) — Optional. Options for analysis.
Returns
- (::Google::Cloud::GeminiDataAnalytics::V1::AnalysisOptions) — Optional. Options for analysis.
#datasource
def datasource() -> ::Google::Cloud::GeminiDataAnalytics::V1::DatasourceOptions
Returns
- (::Google::Cloud::GeminiDataAnalytics::V1::DatasourceOptions) — Optional. Options for datasources.
#datasource=
def datasource=(value) -> ::Google::Cloud::GeminiDataAnalytics::V1::DatasourceOptions
Parameter
- value (::Google::Cloud::GeminiDataAnalytics::V1::DatasourceOptions) — Optional. Options for datasources.
Returns
- (::Google::Cloud::GeminiDataAnalytics::V1::DatasourceOptions) — Optional. Options for datasources.
#model
def model() -> ::Google::Cloud::GeminiDataAnalytics::V1::ConversationOptions::Model
Returns
- (::Google::Cloud::GeminiDataAnalytics::V1::ConversationOptions::Model) — Optional. The model to use for the agent loop.
#model=
def model=(value) -> ::Google::Cloud::GeminiDataAnalytics::V1::ConversationOptions::Model
Parameter
- value (::Google::Cloud::GeminiDataAnalytics::V1::ConversationOptions::Model) — Optional. The model to use for the agent loop.
Returns
- (::Google::Cloud::GeminiDataAnalytics::V1::ConversationOptions::Model) — Optional. The model to use for the agent loop.