mirror of
https://github.com/usestrix/strix.git
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bearsyankees
822 lines
28 KiB
Python
822 lines
28 KiB
Python
"""Execution loop for addressable SDK-backed Strix agents."""
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from __future__ import annotations
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import asyncio
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import contextlib
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import logging
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import uuid
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from collections.abc import Callable
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from typing import TYPE_CHECKING, Any, cast
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from agents import RunConfig, Runner
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from agents.exceptions import AgentsException, MaxTurnsExceeded, UserError
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from agents.sandbox.errors import ExecTransportError
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from docker import errors as docker_errors # type: ignore[import-untyped, unused-ignore]
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from openai import (
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APIConnectionError,
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APIError,
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APIStatusError,
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APITimeoutError,
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RateLimitError,
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)
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from strix.config import codex
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from strix.core.hooks import (
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BudgetExceededError,
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BudgetPausedError,
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SubagentBudgetReservedError,
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)
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from strix.core.inputs import child_initial_input
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from strix.core.sessions import (
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enforce_image_budget,
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open_agent_session,
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strip_all_images_from_session,
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)
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from strix.llm.compaction import is_context_overflow, maybe_compact
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if TYPE_CHECKING:
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from pathlib import Path
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from agents.items import TResponseInputItem
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from agents.lifecycle import RunHooks
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from agents.memory import Session, SQLiteSession
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from agents.result import RunResultBase
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from strix.core.agents import AgentCoordinator, Status
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logger = logging.getLogger(__name__)
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StreamEventSink = Callable[[str, Any], None]
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_INPUT_REJECTION_CODES = frozenset({400, 404, 422})
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_MAX_COMPACTIONS_PER_CYCLE = 2
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class ProviderRefusalError(AgentsException):
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"""Raised when a provider returns a structured refusal instead of an exception."""
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def _structured_provider_refusal(result: Any) -> str | None:
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for item in getattr(result, "new_items", ()) or ():
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raw_item = getattr(item, "raw_item", None)
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for content in getattr(raw_item, "content", ()) or ():
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if getattr(content, "type", None) != "refusal":
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continue
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refusal = getattr(content, "refusal", None)
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if isinstance(refusal, str) and refusal.strip():
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return refusal.strip()
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return "The model provider refused this request."
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return None
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def _run_config_model(run_config: RunConfig) -> str | None:
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return run_config.model if isinstance(run_config.model, str) else None
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def _agent_instructions(agent: Any) -> str:
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instructions = getattr(agent, "instructions", None)
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return instructions if isinstance(instructions, str) else ""
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def _agent_tools_text(agent: Any) -> str:
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parts: list[str] = []
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for tool in getattr(agent, "tools", []) or []:
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name = getattr(tool, "name", "")
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description = getattr(tool, "description", "") or ""
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schema = getattr(tool, "params_json_schema", "") or ""
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parts.append(f"{name} {description} {schema}")
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return "\n".join(parts)
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async def _compact_session(
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agent: Any, session: Session, run_config: RunConfig, *, force: bool
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) -> bool:
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model = _run_config_model(run_config)
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if session is None or model is None:
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return False
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return await maybe_compact(
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session,
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model=model,
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instructions=_agent_instructions(agent),
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tools_text=_agent_tools_text(agent),
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force=force,
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)
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_GUARDRAIL_PARK_ERROR = (
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"Blocked by the model's content guardrail (flagged as a possible cybersecurity risk). "
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"Set STRIX_LLM to a model that isn't blocked and resume the scan to continue."
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)
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_TRANSIENT_MODEL_STATUS_CODES = frozenset({408, 500, 502, 503, 504})
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_MAX_TRANSIENT_MODEL_RETRIES = 4
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_TRANSIENT_MODEL_RETRY_BASE_DELAY_S = 2.0
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_TRANSIENT_MODEL_RETRY_MAX_DELAY_S = 30.0
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def _model_error_status_code(exc: BaseException) -> int | None:
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code = getattr(exc, "status_code", None)
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return code if isinstance(code, int) else None
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def _is_transient_model_error(exc: BaseException) -> bool:
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if isinstance(exc, RateLimitError):
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return False
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if isinstance(exc, APITimeoutError | APIConnectionError):
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return True
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if isinstance(exc, APIStatusError):
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return exc.status_code in _TRANSIENT_MODEL_STATUS_CODES
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if isinstance(exc, APIError):
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return _model_error_status_code(exc) is None
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return False
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def _transient_model_retry_delay(attempt: int) -> float:
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delay = _TRANSIENT_MODEL_RETRY_BASE_DELAY_S * float(2 ** (attempt - 1))
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return min(delay, _TRANSIENT_MODEL_RETRY_MAX_DELAY_S)
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async def run_agent_loop(
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*,
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agent: Any,
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initial_input: Any,
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run_config: RunConfig,
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context: dict[str, Any],
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max_turns: int,
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coordinator: AgentCoordinator,
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agent_id: str,
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interactive: bool,
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session: Session | None = None,
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start_parked: bool = False,
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event_sink: StreamEventSink | None = None,
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hooks: RunHooks[dict[str, Any]] | None = None,
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) -> RunResultBase | None:
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await coordinator.attach_runtime(
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agent_id,
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session=session,
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interrupt_on_message=interactive,
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)
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result: RunResultBase | None = None
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budget_stopped = coordinator.budget_stopped
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reserve_stopped = coordinator.reserve_stopped
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if budget_stopped:
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await coordinator.set_status(agent_id, "stopped")
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raise BudgetExceededError("scan budget reached")
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if reserve_stopped and context.get("parent_id") is not None:
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await coordinator.set_status(agent_id, "stopped")
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raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
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if reserve_stopped and start_parked and interactive and context.get("parent_id") is None:
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await coordinator.send(agent_id, _reserve_notice())
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if not (start_parked and interactive):
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if interactive:
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with contextlib.suppress(BudgetPausedError):
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result = await _run_cycle(
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agent,
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coordinator,
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agent_id,
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input_data=initial_input,
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run_config=run_config,
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context=context,
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max_turns=max_turns,
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session=session,
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interactive=interactive,
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event_sink=event_sink,
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hooks=hooks,
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)
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else:
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result = await _run_noninteractive_until_lifecycle(
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agent,
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coordinator,
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agent_id,
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initial_input=initial_input,
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run_config=run_config,
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context=context,
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max_turns=max_turns,
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session=session,
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event_sink=event_sink,
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hooks=hooks,
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)
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if not interactive:
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return result
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while True:
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try:
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await coordinator.wait_for_message(agent_id)
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except asyncio.CancelledError:
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return result
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if coordinator.budget_stopped:
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await coordinator.set_status(agent_id, "stopped")
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raise BudgetExceededError("scan budget reached")
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if coordinator.reserve_stopped and context.get("parent_id") is not None:
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await coordinator.set_status(agent_id, "stopped")
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raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
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await coordinator.consume_pending(agent_id)
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with contextlib.suppress(BudgetPausedError):
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result = await _run_cycle(
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agent,
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coordinator,
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agent_id,
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input_data=[],
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run_config=run_config,
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context=context,
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max_turns=max_turns,
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session=session,
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interactive=interactive,
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event_sink=event_sink,
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hooks=hooks,
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)
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async def spawn_child_agent(
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*,
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coordinator: AgentCoordinator,
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factory: Any,
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agents_db_path: Path,
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sessions_to_close: list[SQLiteSession],
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run_config: RunConfig,
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max_turns: int,
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interactive: bool,
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parent_ctx: dict[str, Any],
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name: str,
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task: str,
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skills: list[str],
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parent_history: list[Any],
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event_sink: StreamEventSink | None = None,
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hooks: RunHooks[dict[str, Any]] | None = None,
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) -> dict[str, Any]:
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parent_id = parent_ctx.get("agent_id")
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if not isinstance(parent_id, str):
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raise TypeError("Parent agent_id missing from context")
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child_id = uuid.uuid4().hex[:8]
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child_agent = factory(name=name, skills=skills)
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await coordinator.register(
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child_id,
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name,
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parent_id,
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task=task,
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skills=skills,
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)
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await _start_child_runner(
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parent_ctx=parent_ctx,
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coordinator=coordinator,
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agents_db_path=agents_db_path,
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sessions_to_close=sessions_to_close,
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run_config=run_config,
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max_turns=max_turns,
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interactive=interactive,
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child_agent=child_agent,
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child_id=child_id,
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name=name,
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parent_id=parent_id,
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task=task,
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initial_input=child_initial_input(
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name=name,
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child_id=child_id,
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parent_id=parent_id,
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task=task,
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parent_history=parent_history,
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),
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event_sink=event_sink,
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hooks=hooks,
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)
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return {
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"success": True,
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"agent_id": child_id,
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"name": name,
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"parent_id": parent_id,
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"message": f"Spawned '{name}' ({child_id}) running in parallel.",
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}
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async def respawn_subagents(
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*,
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coordinator: AgentCoordinator,
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factory: Any,
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agents_db_path: Path,
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sessions_to_close: list[SQLiteSession],
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run_config: RunConfig,
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max_turns: int,
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interactive: bool,
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parent_ctx: dict[str, Any],
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root_id: str,
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event_sink: StreamEventSink | None = None,
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hooks: RunHooks[dict[str, Any]] | None = None,
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) -> None:
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async with coordinator._lock:
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agents_snapshot = [
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(aid, status, dict(coordinator.metadata.get(aid, {})))
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for aid, status in coordinator.statuses.items()
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]
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candidates: list[tuple[str, str, str | None, dict[str, Any]]] = []
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for aid, status, md in agents_snapshot:
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if not interactive and status not in {"running", "waiting"}:
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continue
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if coordinator.parent_of.get(aid) is None or aid == root_id:
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continue
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md["_restored_status"] = status
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md["_restored_error"] = coordinator.errors.get(aid)
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candidates.append(
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(
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aid,
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coordinator.names.get(aid, aid),
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coordinator.parent_of.get(aid),
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md,
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)
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)
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for child_id, name, parent_id, md in candidates:
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try:
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restored_status = str(md.get("_restored_status") or "running")
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recoverable_park = restored_status == "waiting" and bool(md.get("_restored_error"))
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start_parked = interactive and restored_status != "running" and not recoverable_park
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if start_parked:
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logger.warning(
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"respawn %s (%s): starting parked from status=%s",
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child_id,
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name,
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restored_status,
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)
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child_skills = list(md.get("skills") or [])
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child_agent = factory(name=name, skills=child_skills)
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await _start_child_runner(
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parent_ctx=parent_ctx,
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coordinator=coordinator,
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agents_db_path=agents_db_path,
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sessions_to_close=sessions_to_close,
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run_config=run_config,
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max_turns=max_turns,
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interactive=interactive,
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child_agent=child_agent,
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child_id=child_id,
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name=name,
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parent_id=parent_id,
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task=str(md.get("task", "")),
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initial_input=[],
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start_parked=start_parked,
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event_sink=event_sink,
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hooks=hooks,
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)
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logger.info(
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"respawned %s (%s) parent=%s task_len=%d",
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child_id,
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name,
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parent_id or "-",
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len(md.get("task", "")),
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)
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except Exception:
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logger.exception("respawn %s failed; marking crashed", child_id)
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with contextlib.suppress(Exception):
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await coordinator.set_status(child_id, "crashed")
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async def _run_noninteractive_until_lifecycle(
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agent: Any,
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coordinator: AgentCoordinator,
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agent_id: str,
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*,
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initial_input: Any,
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run_config: RunConfig,
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context: dict[str, Any],
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max_turns: int,
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session: Session | None,
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event_sink: StreamEventSink | None,
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hooks: RunHooks[dict[str, Any]] | None,
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) -> RunResultBase | None:
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"""Non-chat mode keeps running until finish_scan / agent_finish settles status."""
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result: RunResultBase | None = None
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input_data: Any = initial_input
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invalid_final_outputs = 0
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invalid_final_output_limit = max(1, max_turns)
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while True:
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if coordinator.budget_stopped:
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await coordinator.set_status(agent_id, "stopped")
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raise BudgetExceededError("scan budget reached")
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if coordinator.reserve_stopped and context.get("parent_id") is not None:
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await coordinator.set_status(agent_id, "stopped")
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raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
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result = await _run_cycle(
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agent,
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coordinator,
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agent_id,
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input_data=input_data,
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run_config=run_config,
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context=context,
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max_turns=max_turns,
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session=session,
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interactive=False,
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event_sink=event_sink,
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hooks=hooks,
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)
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status = await _agent_status(coordinator, agent_id)
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if status != "running":
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return result
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invalid_final_outputs += 1
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logger.warning(
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"agent %s produced non-lifecycle final output in non-interactive mode; "
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"forcing tool continuation (%d/%d): %s",
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agent_id,
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invalid_final_outputs,
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invalid_final_output_limit,
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_final_output_preview(result),
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)
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if invalid_final_outputs >= invalid_final_output_limit:
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await coordinator.set_status(agent_id, "crashed")
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await _notify_parent_on_terminal(coordinator, agent_id, "crashed")
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raise MaxTurnsExceeded(
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"Agent exhausted non-interactive recovery attempts without calling "
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"finish_scan or agent_finish."
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)
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input_data = await _append_noninteractive_tool_required_message(
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session=session,
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context=context,
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attempt=invalid_final_outputs,
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limit=invalid_final_output_limit,
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)
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async def _run_cycle( # noqa: PLR0912, PLR0915
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agent: Any,
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coordinator: AgentCoordinator,
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agent_id: str,
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*,
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input_data: Any,
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run_config: RunConfig,
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context: dict[str, Any],
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max_turns: int,
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session: Session | None,
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interactive: bool,
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event_sink: StreamEventSink | None,
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hooks: RunHooks[dict[str, Any]] | None,
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) -> RunResultBase | None:
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image_strips = 0
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compactions = 0
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model_retries = 0
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while True:
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try:
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await coordinator.mark_running(agent_id)
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if session is not None:
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max_images = context.get("max_context_images")
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if isinstance(max_images, int):
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try:
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await enforce_image_budget(session, max_images)
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except Exception:
|
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logger.exception("image-budget enforcement failed for %s", agent_id)
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try:
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await _compact_session(agent, session, run_config, force=False)
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except Exception:
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logger.exception("proactive compaction failed for %s", agent_id)
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stream = Runner.run_streamed(
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agent,
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input=input_data,
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run_config=run_config,
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context=context,
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max_turns=max_turns,
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session=session,
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hooks=hooks,
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)
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await coordinator.attach_stream(agent_id, stream)
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try:
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try:
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async for event in stream.stream_events():
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if event_sink is not None:
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try:
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event_sink(agent_id, event)
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except Exception:
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logger.exception("stream event sink failed for %s", agent_id)
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if stream.run_loop_exception is not None:
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raise stream.run_loop_exception
|
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if refusal := _structured_provider_refusal(stream):
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raise ProviderRefusalError(refusal)
|
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except (BudgetExceededError, BudgetPausedError, SubagentBudgetReservedError):
|
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raise
|
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except RuntimeError as stream_exc:
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if "after shutdown" not in str(stream_exc):
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raise
|
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logger.warning(
|
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"Ignoring LiteLLM end-of-stream shutdown race for %s",
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agent_id,
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)
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except (ExecTransportError, docker_errors.NotFound):
|
|
if not coordinator.is_shutting_down:
|
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raise
|
|
logger.warning(
|
|
"Ignoring sandbox container error during teardown for %s",
|
|
agent_id,
|
|
exc_info=True,
|
|
)
|
|
finally:
|
|
await coordinator.detach_stream(agent_id, stream)
|
|
except BudgetPausedError as exc:
|
|
logger.info("agent %s paused at the scan budget limit: %s", agent_id, exc)
|
|
await coordinator.pause_for_budget(agent_id)
|
|
raise
|
|
except SubagentBudgetReservedError as exc:
|
|
logger.info("sub-agent %s stopped at the budget reserve: %s", agent_id, exc)
|
|
await coordinator.set_status(agent_id, "stopped")
|
|
await _notify_root_on_budget_reserve(coordinator)
|
|
raise
|
|
except BudgetExceededError as exc:
|
|
logger.info(
|
|
"agent %s reached the scan budget limit; stopping the scan: %s", agent_id, exc
|
|
)
|
|
await coordinator.set_status(agent_id, "stopped")
|
|
await coordinator.trigger_budget_stop()
|
|
raise
|
|
except Exception as exc:
|
|
if (
|
|
image_strips < 3
|
|
and session is not None
|
|
and getattr(exc, "status_code", None) in _INPUT_REJECTION_CODES
|
|
):
|
|
try:
|
|
stripped = await strip_all_images_from_session(session)
|
|
except Exception:
|
|
logger.exception("image-strip recovery failed for %s", agent_id)
|
|
stripped = False
|
|
if stripped:
|
|
image_strips += 1
|
|
logger.info(
|
|
"Stripped images from %s session after rejection; retrying (%d)",
|
|
agent_id,
|
|
image_strips,
|
|
)
|
|
input_data = []
|
|
continue
|
|
if (
|
|
compactions < _MAX_COMPACTIONS_PER_CYCLE
|
|
and session is not None
|
|
and is_context_overflow(exc)
|
|
):
|
|
try:
|
|
compacted = await _compact_session(agent, session, run_config, force=True)
|
|
except Exception:
|
|
logger.exception("overflow compaction recovery failed for %s", agent_id)
|
|
compacted = False
|
|
if compacted:
|
|
compactions += 1
|
|
logger.info(
|
|
"Compacted %s session after context overflow; retrying (%d)",
|
|
agent_id,
|
|
compactions,
|
|
)
|
|
input_data = []
|
|
continue
|
|
if model_retries < _MAX_TRANSIENT_MODEL_RETRIES and _is_transient_model_error(exc):
|
|
model_retries += 1
|
|
delay = _transient_model_retry_delay(model_retries)
|
|
logger.warning(
|
|
"transient model/provider error for %s; replaying turn "
|
|
"(attempt %d/%d, backoff %.1fs): %r",
|
|
agent_id,
|
|
model_retries,
|
|
_MAX_TRANSIENT_MODEL_RETRIES,
|
|
delay,
|
|
exc,
|
|
)
|
|
await asyncio.sleep(delay)
|
|
if session is not None:
|
|
input_data = []
|
|
continue
|
|
if codex.is_content_guardrail_error(exc):
|
|
return await _handle_content_guardrail(
|
|
coordinator, agent_id, exc, interactive=interactive
|
|
)
|
|
if isinstance(exc, ProviderRefusalError):
|
|
logger.warning("agent %s refused by the model provider: %s", agent_id, exc)
|
|
await coordinator.set_status(agent_id, "failed", error=str(exc))
|
|
await _notify_parent_on_terminal(coordinator, agent_id, "failed")
|
|
return None
|
|
if not interactive:
|
|
raise
|
|
if isinstance(exc, MaxTurnsExceeded):
|
|
status: Status = "stopped"
|
|
elif isinstance(exc, UserError | AgentsException | APIError):
|
|
status = "failed"
|
|
else:
|
|
status = "crashed"
|
|
logger.exception("agent run failed for %s; parking as %s", agent_id, status)
|
|
await coordinator.set_status(agent_id, status, error=str(exc) or type(exc).__name__)
|
|
await _notify_parent_on_terminal(coordinator, agent_id, status)
|
|
return None
|
|
else:
|
|
await _settle_run_result(coordinator, agent_id, interactive)
|
|
return stream
|
|
|
|
|
|
async def _handle_content_guardrail(
|
|
coordinator: AgentCoordinator,
|
|
agent_id: str,
|
|
exc: BaseException,
|
|
*,
|
|
interactive: bool,
|
|
) -> RunResultBase | None:
|
|
logger.warning("agent %s blocked by the model's content guardrail: %s", agent_id, exc)
|
|
if interactive:
|
|
await coordinator.set_status(agent_id, "waiting", error=_GUARDRAIL_PARK_ERROR)
|
|
return None
|
|
await coordinator.set_status(agent_id, "failed", error=_GUARDRAIL_PARK_ERROR)
|
|
await _notify_parent_on_terminal(coordinator, agent_id, "failed")
|
|
return None
|
|
|
|
|
|
async def _settle_run_result(
|
|
coordinator: AgentCoordinator,
|
|
agent_id: str,
|
|
interactive: bool,
|
|
) -> None:
|
|
async with coordinator._lock:
|
|
current_status = coordinator.statuses.get(agent_id)
|
|
|
|
if current_status != "running":
|
|
return
|
|
|
|
if not interactive:
|
|
return
|
|
|
|
await coordinator.set_status(agent_id, "waiting")
|
|
|
|
|
|
async def _agent_status(coordinator: AgentCoordinator, agent_id: str) -> Status | None:
|
|
async with coordinator._lock:
|
|
return coordinator.statuses.get(agent_id)
|
|
|
|
|
|
def _final_output_preview(result: RunResultBase | None) -> str:
|
|
final_output = getattr(result, "final_output", None)
|
|
if final_output is None:
|
|
return "<none>"
|
|
text = str(final_output).replace("\n", " ").strip()
|
|
if not text:
|
|
return "<empty>"
|
|
return text[:300]
|
|
|
|
|
|
async def _append_noninteractive_tool_required_message(
|
|
*,
|
|
session: Session | None,
|
|
context: dict[str, Any],
|
|
attempt: int,
|
|
limit: int,
|
|
) -> list[dict[str, str]]:
|
|
finish_tool = "finish_scan" if context.get("parent_id") is None else "agent_finish"
|
|
message = (
|
|
"Your previous response ended the autonomous Strix run without a lifecycle tool call. "
|
|
"That is invalid in non-interactive mode; plain text final answers are ignored. "
|
|
"Continue immediately and call exactly one tool. "
|
|
f"If your work is complete, call {finish_tool}. "
|
|
"If you are blocked waiting for another agent, call wait_for_message. "
|
|
"Otherwise use the appropriate execution or planning tool. "
|
|
f"This is recovery attempt {attempt}/{limit}."
|
|
)
|
|
item = {"role": "user", "content": message}
|
|
if session is None:
|
|
return [item]
|
|
|
|
await session.add_items([cast("TResponseInputItem", item)])
|
|
return []
|
|
|
|
|
|
_TERMINAL_NOTICE = {
|
|
"crashed": (
|
|
"[Agent crash] {name} ({agent_id}) terminated unexpectedly. "
|
|
"Stop waiting on this child unless you want to message it again."
|
|
),
|
|
"failed": (
|
|
"[Agent failed] {name} ({agent_id}) stopped with an error and will not "
|
|
"send a completion report. Stop waiting on this child unless you want to "
|
|
"message it again."
|
|
),
|
|
"stopped": (
|
|
"[Agent capped] {name} ({agent_id}) hit its turn limit and was stopped "
|
|
"before finishing. It will not send a completion report, so stop waiting "
|
|
"on this child; account for its capped subtask and continue."
|
|
),
|
|
}
|
|
|
|
|
|
async def _notify_parent_on_terminal(
|
|
coordinator: AgentCoordinator,
|
|
agent_id: str,
|
|
status: str,
|
|
) -> None:
|
|
template = _TERMINAL_NOTICE.get(status)
|
|
if template is None:
|
|
return
|
|
async with coordinator._lock:
|
|
parent = coordinator.parent_of.get(agent_id)
|
|
name = coordinator.names.get(agent_id, agent_id)
|
|
if parent is None:
|
|
return
|
|
await coordinator.send(
|
|
parent,
|
|
{
|
|
"from": agent_id,
|
|
"type": status,
|
|
"priority": "high",
|
|
"content": template.format(name=name, agent_id=agent_id),
|
|
},
|
|
interrupt=False,
|
|
)
|
|
|
|
|
|
def _reserve_notice() -> dict[str, Any]:
|
|
return {
|
|
"from": "system",
|
|
"type": "budget_reserve_stop",
|
|
"priority": "high",
|
|
"content": (
|
|
"[Budget reserve] The scan has reached the sub-agent budget reserve: every "
|
|
"sub-agent is being force-stopped as soon as its in-flight turn completes, and "
|
|
"none will send a completion report. Their confirmed vulnerabilities are "
|
|
"already filed as they were found. Do not wait on any sub-agents and do not "
|
|
"spawn new ones — wrap up now and call finish_scan."
|
|
),
|
|
}
|
|
|
|
|
|
async def _notify_root_on_budget_reserve(coordinator: AgentCoordinator) -> None:
|
|
root = await coordinator.claim_reserve_notification()
|
|
if root is None:
|
|
return
|
|
await coordinator.send(root, _reserve_notice())
|
|
|
|
|
|
async def _start_child_runner(
|
|
*,
|
|
parent_ctx: dict[str, Any],
|
|
coordinator: AgentCoordinator,
|
|
agents_db_path: Path,
|
|
sessions_to_close: list[SQLiteSession],
|
|
run_config: RunConfig,
|
|
max_turns: int,
|
|
interactive: bool,
|
|
child_agent: Any,
|
|
child_id: str,
|
|
name: str,
|
|
parent_id: str | None,
|
|
task: str,
|
|
initial_input: Any,
|
|
start_parked: bool = False,
|
|
event_sink: StreamEventSink | None = None,
|
|
hooks: RunHooks[dict[str, Any]] | None = None,
|
|
) -> None:
|
|
session = open_agent_session(child_id, agents_db_path)
|
|
sessions_to_close.append(session)
|
|
await coordinator.attach_runtime(child_id, session=session)
|
|
|
|
child_ctx: dict[str, Any] = dict(parent_ctx)
|
|
child_ctx["agent_id"] = child_id
|
|
child_ctx["parent_id"] = parent_id
|
|
child_ctx["task"] = task
|
|
|
|
async def _child_loop() -> None:
|
|
# A budget stop is a clean scan-wide shutdown, not a child failure: the
|
|
# child's status and parent notification are already settled in
|
|
# ``_run_cycle``. Swallow it here so the detached task does not surface a
|
|
# spurious "Task exception was never retrieved" warning. The root agent
|
|
# hits the same limit on its next call and tears the scan down.
|
|
try:
|
|
await run_agent_loop(
|
|
agent=child_agent,
|
|
initial_input=initial_input,
|
|
run_config=run_config,
|
|
context=child_ctx,
|
|
max_turns=max_turns,
|
|
coordinator=coordinator,
|
|
agent_id=child_id,
|
|
interactive=interactive,
|
|
session=session,
|
|
start_parked=start_parked,
|
|
event_sink=event_sink,
|
|
hooks=hooks,
|
|
)
|
|
except BudgetExceededError:
|
|
logger.info("child %s stopped after reaching the scan budget limit", child_id)
|
|
except SubagentBudgetReservedError:
|
|
logger.info("child %s stopped at the sub-agent budget reserve", child_id)
|
|
|
|
task_handle = asyncio.create_task(_child_loop(), name=f"agent-{name}-{child_id}")
|
|
await coordinator.attach_runtime(child_id, task=task_handle)
|