I need to count distinct values for each categorical column in the all_ai_models table. From the evidence, I can see the semantic roles and some approximate distinct counts, but I should compute exact counts for all categorical columns with a single comprehensive query. Let me identify the categorical columns from the evidence and write one query to count distinct values for all of them: ```json { "action": "tool_call", "reasoning": "I need to count distinct values for all categorical/dimension columns. From the evidence, I can see columns with role=dimension and role=identifier that are categorical. I'll write one query with COUNT(DISTINCT ...) for each categorical column to get exact counts efficiently.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(DISTINCT Model) as Model_distinct, COUNT(DISTINCT Domain) as Domain_distinct, COUNT(DISTINCT Task) as Task_distinct, COUNT(DISTINCT Organization) as Organization_distinct, COUNT(DISTINCT \"Notability criteria\") as Notability_criteria_distinct, COUNT(DISTINCT \"Training hardware\") as Training_hardware_distinct, COUNT(DISTINCT Approach) as Approach_distinct, COUNT(DISTINCT Confidence) as Confidence_distinct, COUNT(DISTINCT \"Model accessibility\") as Model_accessibility_distinct, COUNT(DISTINCT \"Country (of organization)\") as Country_distinct, COUNT(DISTINCT \"Base model\") as Base_model_distinct FROM raw.all_ai_models", "purpose": "Count distinct values for all categorical columns in one query", "source": "raw" } } ```