Source code for airflow.providers.common.ai.example_dags.example_sql_toolset

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"""Example Dag: a SQL agent held to two tables, read-only, with bounded results and a call budget."""

from __future__ import annotations

from pydantic_ai.usage import UsageLimits

from airflow.providers.common.ai.operators.agent import AgentOperator
from airflow.providers.common.compat.sdk import dag

try:
    from airflow.providers.common.ai.toolsets.sql import SQLToolset
except Exception:
[docs] SQLToolset = None # type: ignore[assignment,misc]
if SQLToolset is not None: # [START howto_toolset_sql_restricted] @dag(tags=["example"])
[docs] def example_sql_toolset_restricted(): AgentOperator( task_id="revenue_by_region", prompt="What was last week's revenue by region?", llm_conn_id="pydanticai_default", toolsets=[ SQLToolset( # Log in as a role granted SELECT on orders and customers only. db_conn_id="warehouse_agent_reader", # Refuse any query that reaches another table or a source the parser cannot check. allowed_tables=["orders", "customers"], # Accept this function, which the SQL parser does not recognize. allowed_functions=["json_build_object"], # The default: allow only SELECT-family, DESCRIBE and SHOW statements. allow_writes=False, # Return at most 100 rows and 32 KiB from one query. max_rows=100, max_result_bytes=32 * 1024, # Summarize a table wider than 50 columns instead of listing every column. max_columns=50, # Let the model correct a refused or failed call up to 3 times. max_retries=3, ) ], # Fail the run before a 21st successful tool call, counted across retries on Airflow 3.3+. usage_limits=UsageLimits(tool_calls_limit=20), )
# [END howto_toolset_sql_restricted] example_sql_toolset_restricted()

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