I need to check for duplicate rows in the all_ai_models table. My first attempt to use hash(*) failed because DuckDB's hash() function requires explicit column arguments. Let me try a different approach to identify duplicates. ```json { "action": "tool_call", "reasoning": "To find duplicate rows, I'll group by all columns and count occurrences. Since there are 61 columns, I'll use a more practical approach: first check if there are any exact duplicates by comparing the count of all rows against the count of distinct rows using a combination of key identifying columns.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(*) as total_rows, COUNT(DISTINCT Model) as distinct_models, COUNT(DISTINCT (Model, Organization, \"Publication date\")) as distinct_model_org_date FROM raw.all_ai_models", "purpose": "Check for potential duplicates by comparing total rows against distinct combinations of key identifying columns" } } ```