Class Context (0.7.0)

Context(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of context to apply to this conversation

Attributes

Name Description
system_instruction str
Optional. The basic entry point for data owners creating domain knowledge for Agent. Why: Business jargon (e.g., YTD revenue is calculated as…, Retirement Age is 65 in the USA, etc) and system instructions (e.g., answer like a Pirate) can help the model understand the business context around a user question.
datasource_references google.cloud.geminidataanalytics_v1alpha.types.DatasourceReferences
Required. Data sources that are available for answering the question.
options google.cloud.geminidataanalytics_v1alpha.types.ConversationOptions
Optional. Additional options for the conversation.
example_queries MutableSequence[google.cloud.geminidataanalytics_v1alpha.types.ExampleQuery]
Optional. A list of example queries, providing examples of relevant and commonly used SQL queries and their corresponding natural language queries optionally present. Currently only used for BigQuery data sources.
glossary_terms MutableSequence[google.cloud.geminidataanalytics_v1alpha.types.GlossaryTerm]
Optional. Term definitions (currently, only user authored)
schema_relationships MutableSequence[google.cloud.geminidataanalytics_v1alpha.types.Context.SchemaRelationship]
Optional. Relationships between table schema, including referencing and referenced columns.

Classes

SchemaRelationship

SchemaRelationship(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The relationship between two tables, including referencing and referenced columns. This is a derived context retrieved from Dataplex Dataset Insights.