Source code for tests.system.anthropic.example_anthropic_agent

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from __future__ import annotations

from airflow.sdk import dag, task


[docs]
ANTHROPIC_CONN_ID = "anthropic_default"



@dag(schedule=None, catchup=False)

[docs]
def anthropic_managed_agent():
    @task
    def setup_agent_and_environment() -> dict[str, str]:
        # One-time setup helper — in production run this once and store the IDs, do not
        # create a fresh agent every Dag run. Here we create them and pass the IDs via XCom.
        from airflow.providers.anthropic.hooks.anthropic import AnthropicHook

        hook = AnthropicHook(conn_id=ANTHROPIC_CONN_ID)
        agent = hook.create_agent(
            name="airflow-research-agent",
            system="You are a concise research assistant.",
            tools=[{"type": "agent_toolset_20260401"}],
        )
        environment = hook.create_environment(name="airflow-agent-env")
        return {"agent_id": agent.id, "environment_id": environment.id}

    setup = setup_agent_and_environment()

    # [START howto_operator_anthropic_agent_session]
    from airflow.providers.anthropic.operators.agent import AnthropicAgentSessionOperator

    run_agent = AnthropicAgentSessionOperator(
        task_id="run_agent",
        conn_id=ANTHROPIC_CONN_ID,
        agent_id=setup["agent_id"],
        environment_id=setup["environment_id"],
        message="Summarize the latest stable Apache Airflow release in two sentences.",
        deferrable=True,
    )
    # [END howto_operator_anthropic_agent_session]

    run_agent



anthropic_managed_agent()


from tests_common.test_utils.system_tests import get_test_run  # noqa: E402

# Needed to run the example Dag with pytest (see: contributing-docs/testing/system_tests.rst)

[docs]
test_run = get_test_run(dag)