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Source code for airflow.providers.anthropic.operators.agent

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from __future__ import annotations

import time
from collections.abc import Sequence
from datetime import timedelta
from functools import cached_property
from typing import TYPE_CHECKING, Any

from airflow.providers.anthropic.exceptions import AnthropicAgentSessionError, AnthropicAgentSessionTimeout
from airflow.providers.anthropic.hooks.anthropic import AnthropicHook, validate_execute_complete_event
from airflow.providers.anthropic.triggers.agent import AnthropicAgentSessionTrigger
from airflow.providers.common.compat.sdk import BaseOperator, conf

if TYPE_CHECKING:
    from airflow.providers.common.compat.sdk import Context


[docs] class AnthropicAgentSessionOperator(BaseOperator): """ Run a Managed Agents session against a pre-created agent and environment. Anthropic runs the agent loop server-side; the worker creates a session, sends the initial instruction, and waits for the session to reach a terminal status. In deferrable mode it releases the worker slot while a trigger polls the session status. Provide exactly one of ``message`` (a single user turn) or ``outcome`` (a ``user.define_outcome`` rubric that the agent iterates against until satisfied). .. important:: This operator is for **autonomous** agents — configure the agent without client-side custom tools or an ``always_ask`` permission policy. Completion is detected accurately for both modes. A ``message`` run reads the terminal ``session.status_idle`` event's ``stop_reason`` (correlated against the kickoff event to avoid a start-race false positive): ``end_turn`` succeeds, while ``requires_action`` (the agent is blocked on input) and ``retries_exhausted`` raise an error rather than silently passing. An ``outcome`` run is judged from the session's ``outcome_evaluations`` verdict (``satisfied`` vs. ``failed``/``max_iterations_reached``/``interrupted``). Agents and environments are created once (see :meth:`~airflow.providers.anthropic.hooks.anthropic.AnthropicHook.create_agent`), not per task run. Outputs the agent writes to ``/mnt/session/outputs/`` are retrieved afterwards via the Files API (``scope_id=<session_id>``); the operator returns the **session ID only**. .. seealso:: For more information, take a look at the guide: :ref:`howto/operator:AnthropicAgentSessionOperator` :param agent_id: ID of a pre-created agent. :param environment_id: ID of a pre-created environment. :param message: A single user message to start the session. Mutually exclusive with ``outcome``. :param outcome: A ``user.define_outcome`` payload (``description``, ``rubric``, optional ``max_iterations``). Mutually exclusive with ``message``. :param conn_id: The Anthropic connection ID to use. :param deferrable: Run the operator in deferrable mode. :param poll_interval: Seconds between session status checks (both paths). :param timeout: Seconds to wait for a terminal status. Defaults to 24 hours. In deferrable mode the trigger enforces this and tears the session down on timeout; set ``execution_timeout`` only for a shorter hard cap (which preempts that graceful teardown). :param vault_ids: Vault IDs providing MCP/credential access to the session. :param session_resources: Session resources (files, GitHub repos, memory stores). Named ``session_resources`` to avoid colliding with the reserved ``BaseOperator.resources``; forwarded to ``sessions.create`` as ``resources``. :param session_kwargs: Extra keyword arguments forwarded to ``sessions.create``. """
[docs] template_fields: Sequence[str] = ("agent_id", "environment_id", "message", "outcome")
def __init__( self, *, agent_id: str, environment_id: str, message: str | None = None, outcome: dict[str, Any] | None = None, conn_id: str = AnthropicHook.default_conn_name, deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False), poll_interval: float = 30, timeout: float = 24 * 60 * 60, vault_ids: list[str] | None = None, session_resources: list[dict[str, Any]] | None = None, session_kwargs: dict[str, Any] | None = None, **kwargs: Any, ) -> None: super().__init__(**kwargs) if (message is None) == (outcome is None): raise ValueError("Provide exactly one of 'message' or 'outcome'.") if outcome is not None and not {"description", "rubric"} <= outcome.keys(): raise ValueError("'outcome' must include both 'description' and 'rubric'.")
[docs] self.agent_id = agent_id
[docs] self.environment_id = environment_id
[docs] self.message = message
[docs] self.outcome = outcome
[docs] self.conn_id = conn_id
[docs] self.deferrable = deferrable
[docs] self.poll_interval = poll_interval
[docs] self.timeout = timeout
[docs] self.vault_ids = vault_ids
[docs] self.session_resources = session_resources
[docs] self.session_kwargs = session_kwargs or {}
[docs] self.session_id: str | None = None
@cached_property
[docs] def hook(self) -> AnthropicHook: """Return an instance of the AnthropicHook.""" return AnthropicHook(conn_id=self.conn_id)
[docs] def execute(self, context: Context) -> str | None: create_kwargs: dict[str, Any] = dict(self.session_kwargs) if self.vault_ids: create_kwargs["vault_ids"] = self.vault_ids if self.session_resources: create_kwargs["resources"] = self.session_resources session = self.hook.create_session( agent=self.agent_id, environment_id=self.environment_id, **create_kwargs ) self.session_id = session.id context["ti"].xcom_push(key="session_id", value=session.id) self.log.info("Started Anthropic session %s for agent %s", session.id, self.agent_id) try: if self.outcome is not None: response = self.hook.send_event(session.id, {"type": "user.define_outcome", **self.outcome}) else: response = self.hook.send_event( session.id, {"type": "user.message", "content": [{"type": "text", "text": self.message}]}, ) except Exception: # send_event failed after create_session allocated the container; tear it down. self._archive_session(session.id) raise # Correlate completion against the kickoff event so a message run is not fooled by a # just-created idle session (the start race). sent = response.data kickoff_event_id = sent[-1].id if sent else None expect_outcome = self.outcome is not None if self.deferrable: # Backstop the deferral slightly beyond the trigger's own end_time so the # trigger's clean "timeout" event (which tears the session down) wins the race # rather than a generic AirflowTaskTimeout. A user-set execution_timeout still # applies as a shorter hard cap (and then teardown is skipped — documented). self.defer( timeout=self.execution_timeout or timedelta(seconds=self.timeout + self.poll_interval + 60), trigger=AnthropicAgentSessionTrigger( conn_id=self.conn_id, session_id=session.id, poll_interval=self.poll_interval, end_time=time.time() + self.timeout, expect_outcome=expect_outcome, kickoff_event_id=kickoff_event_id, ), method_name="execute_complete", ) self.log.info("Waiting for session %s to complete", session.id) try: self.hook.wait_for_session( session.id, expect_outcome=expect_outcome, kickoff_event_id=kickoff_event_id, poll_interval=self.poll_interval, timeout=self.timeout, ) except Exception: # Any failure after the session starts (timeout, SDK 5xx, auth expiry) leaves # the server-side container running; archive it best-effort before failing. self._archive_session(session.id) raise return session.id
[docs] def execute_complete(self, context: Context, event: Any = None) -> str: event = validate_execute_complete_event(event) # The deferred task is a fresh instance; restore the session id from the event. self.session_id = event["session_id"] status = event["status"] if status == "timeout": self._archive_session(self.session_id) raise AnthropicAgentSessionTimeout(event["message"]) if status == "error": # The trigger yields "error" when polling gives up while the session may still # be running; archive it best-effort so its container does not linger. self._archive_session(self.session_id) raise AnthropicAgentSessionError(event["message"]) self.log.info("Session %s completed.", self.session_id) return self.session_id
def _archive_session(self, session_id: str | None) -> None: """Best-effort teardown of the server-side session (frees its container).""" if not session_id: return try: self.hook.archive_session(session_id) except Exception as e: self.log.warning("Failed to archive session %s: %s", session_id, e)
[docs] def on_kill(self) -> None: """ Archive the session if the (non-deferred) task is killed. Only fires while the worker process is alive, i.e. the synchronous path (``deferrable=False``). On Airflow 3.3+ a killed deferred task is archived by the trigger's ``on_kill``. On older Airflow the session of a killed deferred task is not archived automatically; archive it manually via the hook. """ self._archive_session(self.session_id)

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