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

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"""Example Dag: LLM output that a person approves, edits or rejects before a downstream task uses it."""

from __future__ import annotations

# [START howto_operator_llm_approval_walkthrough]
from datetime import timedelta

from airflow.providers.common.ai.operators.llm import LLMOperator
from airflow.sdk import dag, task


[docs]
CHANGE = """
Webhook deliveries that fail with a 5xx response are now retried three times
with exponential backoff before the delivery is logged as failed.
Previously a single failed delivery dropped the event.
"""



@dag(schedule=None, tags=["example"])

[docs]
def example_llm_approval():
    draft = LLMOperator(
        task_id="draft_release_note",
        prompt=f"Write a one-sentence release note for this change:\n{CHANGE}",
        llm_conn_id="pydanticai_default",
        system_prompt="You write release notes for the users of a developer platform. Be plain and specific.",
        require_approval=True,
        allow_modifications=True,
        approval_timeout=timedelta(hours=24),
    )

    @task
    def publish(note: str) -> None:
        print(f"Publishing release note: {note}")

    publish(draft.output)



example_llm_approval()
# [END howto_operator_llm_approval_walkthrough]