bsl-query-expert

You can query BSL semantic models by using the query_model function to execute queries directly. It enforces exact field names and proper prefix usage for joined columns, returning results with auto-displayed charts for rapid insight.

Schema discovery for data analysis involves listing available models and then retrieving the specific schema for a target model. You can use list_models to discover models and get_model to inspect schemas before running exploratory queries.

Querying joined columns in semantic models requires using proper prefixes for the joined fields and enforcing exact field names. You can retrieve detailed syntax rules and constraints by accessing the query-methods documentation before executing your query.

Yes, automatically visualizing query results during exploratory data analysis is supported. When you execute a query using the model query methods, the results are returned with auto-displayed charts to enable end-to-end interactive exploration and quick summaries.

Performing model discovery and guided querying requires access to specific functions including list_models, get_model, get_documentation, and query_model. This access enables you to discover models, inspect schemas, learn syntax, and execute queries across interactive sessions.

The main limitation when querying for data visualization is that the system strictly enforces exact field names and proper prefix usage for joined columns. You must verify schema details and query syntax beforehand to avoid errors during model querying.