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AI Features

The Qarion SDK provides methods for generating AI-powered descriptions and interacting with the AI Copilot.

Usage​

Generate Product Description​

from qarion import QarionClient

client = QarionClient(api_key="qk_...")

description = client.ai.generate_description(
    asset_type="table",
    asset_name="revenue_transactions",
    context={
        "columns": ["id", "customer_id", "amount", "currency", "created_at"],
        "tags": ["finance", "revenue"],
        "product_type": "Table",
        "environment": "production",
        "lineage": {
            "upstream": ["raw_transactions"],
            "downstream": ["revenue_dashboard"],
        },
    },
)
print(description.description)

Generate Field Description​

description = client.ai.generate_description(
    asset_type="field",
    asset_name="customer_id",
    context={
        "parent_table": "revenue_transactions",
        "data_type": "uuid",
        "neighboring_columns": ["id", "amount", "created_at"],
    },
)

Chat with Copilot​

response = client.ai.chat(
    messages=[
        {"role": "user", "content": "Which tables contain customer PII?"}
    ],
    use_tools=True,
    page_context="catalog",
)
print(response.response)
for source in response.sources:
    print(f"  - {source.product_name} (relevance: {source.relevance})")

Get AI Usage (Admin)​

usage = client.ai_logs.get_usage(days=30)
for entry in usage:
    print(f"{entry['date']} | {entry['model']} | {entry['request_count']} calls")