Files
archived-MoviePilot/app/agent/middleware/subagents.py
2026-05-31 21:55:25 +08:00

986 lines
35 KiB
Python

"""MoviePilot 子代理中间件适配。"""
import asyncio
import json
import uuid
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
from datetime import datetime
from functools import lru_cache
from typing import Any, Literal, Optional
from langchain.agents import create_agent
from langchain.agents.middleware.types import (
AgentMiddleware,
ContextT,
ModelRequest,
ModelResponse,
ResponseT,
ToolCallRequest,
)
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import AIMessage, HumanMessage
from langchain_core.tools import BaseTool, StructuredTool
from pydantic import BaseModel, Field
from app.agent.middleware.utils import append_to_system_message
from app.agent.tools.tags import ToolTag
from app.log import logger
SUBAGENT_TASK_TOOL_NAME = "task"
SUBAGENT_CONTROL_TOOL_NAME = "subagent_task"
SUBAGENT_STREAM_MARKER_KEY = "ls_agent_type"
SUBAGENT_STREAM_MARKER_VALUE = "subagent"
SUBAGENT_DEFAULT_WAIT_TIMEOUT_MS = 60000
SUBAGENT_MAX_WAIT_TIMEOUT_MS = 300000
SUBAGENT_MAX_ACTIVE_TASKS = 8
SUBAGENT_MAX_CONCURRENT_TASKS = 4
SUBAGENT_RESULT_MAX_CHARS = 12000
SUBAGENT_DESCRIPTION_MAX_CHARS = 500
SUBAGENT_PARENT_PROMPT = """<subagents>
You may use subagent tools to delegate independent research, retrieval,
diagnosis, or planning work to built-in subagents.
Delegation modes:
- Use `task` for one blocking subtask when you need the result immediately.
- Use `subagent_task` for two or more independent subtasks. Start them first
with `action=start` and a `tasks` array, then use `action=status`,
`action=wait`, or `action=cancel` with the returned task IDs.
- Use `subagent_task` with `action=run` when you want to launch a bounded
batch and wait for the batch in one tool call.
Rules:
- Delegate when a task benefits from focused investigation, such as media identity checks, site/resource search, subscription analysis, download/transfer diagnosis, or read-only system inspection.
- Subagent output is private context for your decision-making. Do not expose a subagent's process or final report verbatim to the user.
- Subagents must not send messages to the user, ask for interaction, or reveal their internal tool activity.
- Give the user only your synthesized final answer and the minimum necessary next step.
- If a task requires configuration changes, deletion, adding downloads, adding subscriptions, or any high-impact action, the main agent must handle it directly under the confirmation policy.
</subagents>"""
SUBAGENT_TASK_DESCRIPTION = (
"Delegate an isolated MoviePilot investigation or planning task to a built-in "
"subagent. The subagent result is private context for the main agent and must "
"not be forwarded verbatim to the user."
)
SUBAGENT_CONTROL_DESCRIPTION = (
"Start and manage multiple MoviePilot subagent tasks asynchronously. "
"Use action=start with tasks=[{description, subagent_type}] to launch a batch "
"and get task IDs immediately. Use action=status to inspect tasks, action=wait "
"to wait for all or any task result, action=cancel to stop running tasks, and "
"action=run to launch a bounded batch and wait in one call."
)
SUBAGENT_BASE_PROMPT = """You are a silent subagent working for the MoviePilot main agent.
Requirements:
- Handle only the delegated subtask from the main agent. Do not converse with the user.
- Do not send messages, request user interaction, or output progress updates.
- Use tool results only for analysis, and return the final result only to the main agent.
- Unless the task explicitly requires it and your tool set permits it, limit yourself to read-only inspection and diagnosis.
- If user confirmation or a high-impact change is needed, explain why the main agent must confirm it instead of executing it yourself.
- Return a concise structured Chinese result with key evidence, judgment, and recommended next step.
"""
@dataclass(frozen=True)
class _SubAgentProfile:
"""内置子代理定义。"""
name: str
description: str
prompt: str
include_tags: frozenset[str]
exclude_tags: frozenset[str]
class _TaskToolInput(BaseModel):
"""子代理任务工具输入。"""
description: str = Field(..., description="Complete task description for the subagent")
subagent_type: str = Field(
default="general-purpose",
description="Subagent type to invoke, such as general-purpose or media-researcher",
)
class _SubAgentTaskSpec(BaseModel):
"""异步子代理任务定义。"""
description: str = Field(..., description="Complete task description for the subagent")
subagent_type: str = Field(
default="general-purpose",
description="Subagent type to invoke, such as general-purpose or media-researcher",
)
class _SubAgentControlInput(BaseModel):
"""异步子代理管控工具输入。"""
action: Literal["start", "status", "wait", "cancel", "run"] = Field(
default="start",
description="Task action: start, status, wait, cancel, or run.",
)
description: Optional[str] = Field(
default=None,
description="Single task description for action=start or action=run.",
)
subagent_type: Optional[str] = Field(
default="general-purpose",
description="Single task subagent type for action=start or action=run.",
)
tasks: Optional[list[_SubAgentTaskSpec]] = Field(
default=None,
description="Batch task specs for action=start or action=run.",
)
task_ids: Optional[list[str]] = Field(
default=None,
description="Task IDs returned by action=start. Empty means all known tasks.",
)
task_id: Optional[str] = Field(
default=None,
description="Single task ID for status, wait, or cancel.",
)
wait_mode: Literal["all", "any"] = Field(
default="all",
description="For action=wait or action=run: wait for all selected tasks or any one task.",
)
timeout_ms: Optional[int] = Field(
default=SUBAGENT_DEFAULT_WAIT_TIMEOUT_MS,
description="Maximum wait time in milliseconds for action=wait or action=run.",
)
@dataclass
class _SubAgentRuntimeTask:
"""运行中的异步子代理任务记录。"""
task_id: str
description: str
subagent_type: str
task: asyncio.Task
created_at: datetime
started_at: Optional[datetime] = None
finished_at: Optional[datetime] = None
def is_subagent_stream_metadata(metadata: Any) -> bool:
"""判断流式 token 元数据是否来自子代理。"""
if not isinstance(metadata, dict):
return False
if metadata.get(SUBAGENT_STREAM_MARKER_KEY) == SUBAGENT_STREAM_MARKER_VALUE:
return True
nested_metadata = metadata.get("metadata")
if isinstance(nested_metadata, dict) and nested_metadata.get(
SUBAGENT_STREAM_MARKER_KEY
) == SUBAGENT_STREAM_MARKER_VALUE:
return True
configurable = metadata.get("configurable")
if isinstance(configurable, dict) and configurable.get(
SUBAGENT_STREAM_MARKER_KEY
) == SUBAGENT_STREAM_MARKER_VALUE:
return True
return bool(metadata.get("lc_agent_name") in builtin_subagent_names())
@lru_cache(maxsize=1)
def builtin_subagent_names() -> frozenset[str]:
"""返回内置子代理名称集合。"""
return frozenset(profile.name for profile in _builtin_subagent_profiles())
@lru_cache(maxsize=1)
def _builtin_subagent_profiles() -> tuple[_SubAgentProfile, ...]:
"""构建 MoviePilot 默认内置子代理定义。"""
default_exclude_tags = frozenset(
{
ToolTag.Write.value,
ToolTag.Message.value,
ToolTag.UserInteraction.value,
}
)
general_tags = frozenset(
{
ToolTag.Media.value,
ToolTag.Resource.value,
ToolTag.Site.value,
ToolTag.Subscription.value,
ToolTag.Download.value,
ToolTag.Library.value,
ToolTag.Transfer.value,
ToolTag.System.value,
ToolTag.Settings.value,
ToolTag.Plugin.value,
ToolTag.Workflow.value,
ToolTag.Scheduler.value,
ToolTag.File.value,
ToolTag.Directory.value,
ToolTag.Web.value,
ToolTag.Command.value,
ToolTag.FilterRule.value,
ToolTag.Persona.value,
ToolTag.SlashCommand.value,
ToolTag.Recommendation.value,
ToolTag.Metadata.value,
}
)
return (
_SubAgentProfile(
name="general-purpose",
description="General read-only investigation subagent for cross-domain MoviePilot analysis and execution recommendations.",
prompt=(
f"{SUBAGENT_BASE_PROMPT}\n"
"You specialize in synthesizing media, site, subscription, download, and system status signals."
),
include_tags=general_tags,
exclude_tags=default_exclude_tags,
),
_SubAgentProfile(
name="media-researcher",
description="Media research subagent for title recognition, people, episodes, metadata, and library existence checks.",
prompt=(
f"{SUBAGENT_BASE_PROMPT}\n"
"You specialize in media identity resolution, metadata validation, person credits, and library status analysis."
),
include_tags=frozenset(
{
ToolTag.Media.value,
ToolTag.Library.value,
ToolTag.Recommendation.value,
ToolTag.Metadata.value,
ToolTag.Web.value,
}
),
exclude_tags=default_exclude_tags,
),
_SubAgentProfile(
name="resource-searcher",
description="Site and resource search subagent for site checks, torrent search, and resource quality analysis.",
prompt=(
f"{SUBAGENT_BASE_PROMPT}\n"
"You specialize in site status, site user data, torrent search results, and resource quality judgment."
),
include_tags=frozenset(
{
ToolTag.Resource.value,
ToolTag.Site.value,
ToolTag.Web.value,
ToolTag.Media.value,
}
),
exclude_tags=default_exclude_tags,
),
_SubAgentProfile(
name="subscription-analyst",
description="Subscription analysis subagent for subscriptions, history, filter rules, and custom identifiers.",
prompt=(
f"{SUBAGENT_BASE_PROMPT}\n"
"You specialize in current subscription state, subscription history, filter rules, and subscription optimization suggestions."
),
include_tags=frozenset(
{
ToolTag.Subscription.value,
ToolTag.FilterRule.value,
ToolTag.Settings.value,
ToolTag.Media.value,
}
),
exclude_tags=default_exclude_tags,
),
_SubAgentProfile(
name="system-diagnostician",
description="System diagnosis subagent for read-only inspection of settings, schedulers, workflows, plugins, directories, and command output.",
prompt=(
f"{SUBAGENT_BASE_PROMPT}\n"
"You specialize in settings, plugins, scheduled tasks, workflows, directories, and read-only command diagnostics."
),
include_tags=frozenset(
{
ToolTag.System.value,
ToolTag.Settings.value,
ToolTag.Plugin.value,
ToolTag.Workflow.value,
ToolTag.Scheduler.value,
ToolTag.File.value,
ToolTag.Directory.value,
ToolTag.Web.value,
ToolTag.Command.value,
ToolTag.Persona.value,
ToolTag.SlashCommand.value,
}
),
exclude_tags=default_exclude_tags,
),
_SubAgentProfile(
name="download-diagnostician",
description="Download and transfer diagnosis subagent for downloaders, download tasks, transfer history, and library status.",
prompt=(
f"{SUBAGENT_BASE_PROMPT}\n"
"You specialize in downloaders, download tasks, transfer history, directory settings, and library ingestion state."
),
include_tags=frozenset(
{
ToolTag.Download.value,
ToolTag.Transfer.value,
ToolTag.Library.value,
ToolTag.Directory.value,
ToolTag.File.value,
ToolTag.Media.value,
}
),
exclude_tags=default_exclude_tags,
),
)
def _tool_tag_values(tool: BaseTool) -> set[str]:
"""读取工具实例上的标签集合。"""
tags = getattr(tool, "tags", None) or []
if isinstance(tags, str):
return {tags}
return {str(tag) for tag in tags if tag}
def _select_tools(tools: list[BaseTool], profile: _SubAgentProfile) -> list[BaseTool]:
"""根据工具标签筛选子代理可用工具。"""
selected_tools = []
for tool in tools:
tags = _tool_tag_values(tool)
if ToolTag.Read.value not in tags:
continue
if profile.exclude_tags & tags:
continue
if profile.include_tags & tags:
selected_tools.append(tool)
return selected_tools
def _format_subagent_catalog(profiles: tuple[_SubAgentProfile, ...]) -> str:
"""渲染子代理目录供任务工具描述使用。"""
return "\n".join(
f"- {profile.name}: {profile.description}" for profile in profiles
)
def _extract_text_content(content: Any) -> str:
"""从模型消息内容中提取可读文本。"""
if content is None:
return ""
if isinstance(content, str):
return content
if isinstance(content, list):
text_parts: list[str] = []
for block in content:
if isinstance(block, str):
text_parts.append(block)
continue
if isinstance(block, dict):
if block.get("thought"):
continue
if block.get("type") in {
"thinking",
"reasoning_content",
"reasoning",
"thought",
}:
continue
if isinstance(block.get("text"), str):
text_parts.append(block["text"])
return "".join(text_parts)
return str(content)
def _extract_final_text(result: Any) -> str:
"""从子代理执行结果中提取最后一条 AI 文本。"""
if isinstance(result, dict):
messages = result.get("messages") or []
else:
messages = getattr(result, "messages", []) or []
for message in reversed(messages):
if isinstance(message, AIMessage) and message.content:
text = _extract_text_content(message.content).strip()
if text:
return text
return _extract_text_content(result).strip()
def _clip_text(text: Any, max_chars: int) -> tuple[str, bool]:
"""裁剪过长文本,返回文本和是否被裁剪。"""
normalized = "" if text is None else str(text)
if len(normalized) <= max_chars:
return normalized, False
return normalized[:max_chars], True
def _format_datetime(value: Optional[datetime]) -> Optional[str]:
"""格式化任务时间。"""
if not value:
return None
return value.strftime("%Y-%m-%d %H:%M:%S")
class _SubAgentAgentProvider:
"""子代理图懒加载与执行器。"""
def __init__(
self,
*,
model: BaseChatModel,
profiles: tuple[_SubAgentProfile, ...],
tools: list[BaseTool],
) -> None:
"""初始化子代理执行器。"""
self._model = model
self._profiles = {profile.name: profile for profile in profiles}
self._tools = tools
self._agents = {}
self._default_agent_name = "general-purpose"
def _resolve_profile(self, agent_name: Optional[str]) -> _SubAgentProfile:
"""解析子代理类型,未知类型回退到默认子代理。"""
return self._profiles.get(agent_name or "") or self._profiles[
self._default_agent_name
]
def get_agent(self, agent_name: Optional[str]) -> tuple[str, Any]:
"""懒加载指定名称的子代理图。"""
profile = self._resolve_profile(agent_name)
cached_agent = self._agents.get(profile.name)
if cached_agent:
return profile.name, cached_agent
subagent_tools = _select_tools(self._tools, profile)
agent = create_agent(
model=self._model,
tools=subagent_tools,
system_prompt=profile.prompt,
name=profile.name,
)
self._agents[profile.name] = agent
return profile.name, agent
async def run_task(
self,
*,
description: str,
subagent_type: Optional[str],
task_id: Optional[str] = None,
) -> str:
"""调用指定子代理并只返回供主代理读取的结果。"""
agent_name, agent = self.get_agent(subagent_type)
thread_suffix = task_id or uuid.uuid4().hex
result = await agent.ainvoke(
{"messages": [HumanMessage(content=description)]},
config={
"configurable": {
"thread_id": f"subagent-{agent_name}-{thread_suffix}",
SUBAGENT_STREAM_MARKER_KEY: SUBAGENT_STREAM_MARKER_VALUE,
},
"metadata": {
"lc_agent_name": agent_name,
SUBAGENT_STREAM_MARKER_KEY: SUBAGENT_STREAM_MARKER_VALUE,
},
},
)
final_text = _extract_final_text(result)
return final_text or "The subagent did not return a usable result."
class MoviePilotSubAgentMiddleware(AgentMiddleware):
"""MoviePilot 本地子代理中间件兜底实现。"""
def __init__(
self,
*,
model: BaseChatModel,
profiles: tuple[_SubAgentProfile, ...],
tools: list[BaseTool],
system_prompt: str = SUBAGENT_PARENT_PROMPT,
task_description: str = SUBAGENT_TASK_DESCRIPTION,
) -> None:
self.system_prompt = system_prompt
self._provider = _SubAgentAgentProvider(
model=model,
profiles=profiles,
tools=tools,
)
self.tools = [
StructuredTool.from_function(
coroutine=self._run_task,
name=SUBAGENT_TASK_TOOL_NAME,
description=(
f"{task_description}\n\nAvailable subagents:\n"
f"{_format_subagent_catalog(profiles)}"
),
args_schema=_TaskToolInput,
)
]
def _get_agent(self, agent_name: str) -> Any:
"""懒加载指定名称的子代理图。"""
return self._provider.get_agent(agent_name)[1]
async def _run_task(self, description: str, subagent_type: str) -> str:
"""调用指定子代理并只返回供主代理读取的结果。"""
return await self._provider.run_task(
description=description,
subagent_type=subagent_type,
)
async def awrap_model_call(
self,
request: ModelRequest[ContextT],
handler: Callable[
[ModelRequest[ContextT]], Awaitable[ModelResponse[ResponseT]]
],
) -> ModelResponse[ResponseT]:
"""在主代理模型调用前注入子代理使用说明。"""
new_system_message = append_to_system_message(
request.system_message,
self.system_prompt,
)
return await handler(request.override(system_message=new_system_message))
class SubAgentTaskControlMiddleware(AgentMiddleware):
"""提供异步子代理任务调度工具的中间件。"""
def __init__(
self,
*,
model: BaseChatModel,
profiles: tuple[_SubAgentProfile, ...],
tools: list[BaseTool],
task_description: str = SUBAGENT_CONTROL_DESCRIPTION,
) -> None:
"""初始化异步子代理调度中间件。"""
self._provider = _SubAgentAgentProvider(
model=model,
profiles=profiles,
tools=tools,
)
self._semaphore = asyncio.Semaphore(SUBAGENT_MAX_CONCURRENT_TASKS)
self._tasks: dict[str, _SubAgentRuntimeTask] = {}
self.tools = [
StructuredTool.from_function(
coroutine=self._control_task,
name=SUBAGENT_CONTROL_TOOL_NAME,
description=(
f"{task_description}\n\nAvailable subagents:\n"
f"{_format_subagent_catalog(profiles)}"
),
args_schema=_SubAgentControlInput,
)
]
@staticmethod
def _json_response(payload: dict[str, Any]) -> str:
"""将工具响应序列化为稳定 JSON。"""
return json.dumps(payload, ensure_ascii=False, indent=2)
@staticmethod
def _normalize_timeout_ms(timeout_ms: Optional[int]) -> int:
"""规范化等待超时时间。"""
if timeout_ms is None:
return SUBAGENT_DEFAULT_WAIT_TIMEOUT_MS
return max(0, min(int(timeout_ms), SUBAGENT_MAX_WAIT_TIMEOUT_MS))
@staticmethod
def _task_status(record: _SubAgentRuntimeTask) -> str:
"""读取任务当前状态。"""
task = record.task
if task.cancelled():
return "cancelled"
if not task.done():
return "running" if record.started_at else "pending"
if task.exception():
return "failed"
return "completed"
@staticmethod
def _task_output(record: _SubAgentRuntimeTask) -> dict[str, Any]:
"""格式化单个任务状态和结果。"""
description, description_truncated = _clip_text(
record.description,
SUBAGENT_DESCRIPTION_MAX_CHARS,
)
payload: dict[str, Any] = {
"task_id": record.task_id,
"subagent_type": record.subagent_type,
"status": SubAgentTaskControlMiddleware._task_status(record),
"description": description,
"description_truncated": description_truncated,
"created_at": _format_datetime(record.created_at),
"started_at": _format_datetime(record.started_at),
"finished_at": _format_datetime(record.finished_at),
}
if not record.task.done():
return payload
if record.task.cancelled():
return payload
error = record.task.exception()
if error:
payload["error"] = str(error)
return payload
result, result_truncated = _clip_text(
record.task.result(),
SUBAGENT_RESULT_MAX_CHARS,
)
payload["result"] = result
payload["result_truncated"] = result_truncated
return payload
def _selected_records(
self,
*,
task_ids: Optional[list[str]] = None,
task_id: Optional[str] = None,
active_only: bool = False,
) -> tuple[list[_SubAgentRuntimeTask], list[str]]:
"""根据任务 ID 选择记录。"""
selected_ids = []
if task_id:
selected_ids.append(task_id)
selected_ids.extend(task_ids or [])
if not selected_ids:
records = list(self._tasks.values())
if active_only:
records = [record for record in records if not record.task.done()]
return records, []
records = []
missing_ids = []
seen_ids = set()
for selected_id in selected_ids:
if selected_id in seen_ids:
continue
seen_ids.add(selected_id)
record = self._tasks.get(selected_id)
if record:
records.append(record)
else:
missing_ids.append(selected_id)
return records, missing_ids
def _normalize_specs(
self,
*,
description: Optional[str],
subagent_type: Optional[str],
tasks: Optional[list[_SubAgentTaskSpec]],
) -> tuple[list[_SubAgentTaskSpec], Optional[str]]:
"""规范化单任务和批量任务输入。"""
specs = []
for task in tasks or []:
if isinstance(task, dict):
task = _SubAgentTaskSpec(**task)
if task.description.strip():
specs.append(task)
if not specs and description and description.strip():
specs.append(
_SubAgentTaskSpec(
description=description,
subagent_type=subagent_type or "general-purpose",
)
)
if not specs:
return [], "缺少可执行的子代理任务描述。"
if len(specs) > SUBAGENT_MAX_ACTIVE_TASKS:
return [], f"单次最多可提交 {SUBAGENT_MAX_ACTIVE_TASKS} 个子代理任务。"
active_count = sum(
1 for record in self._tasks.values() if not record.task.done()
)
if active_count + len(specs) > SUBAGENT_MAX_ACTIVE_TASKS:
return [], (
f"当前仍有 {active_count} 个子代理任务未完成,"
f"总并发上限为 {SUBAGENT_MAX_ACTIVE_TASKS}"
)
return specs, None
async def _execute_managed_task(self, record: _SubAgentRuntimeTask) -> str:
"""执行受调度器管理的子代理任务。"""
async with self._semaphore:
record.started_at = datetime.now()
try:
return await self._provider.run_task(
description=record.description,
subagent_type=record.subagent_type,
task_id=record.task_id,
)
except asyncio.CancelledError:
raise
except Exception as err:
logger.error(f"子代理任务执行失败: task_id={record.task_id}, error={err}")
raise
def _mark_task_finished(self, task_id: str, task: asyncio.Task) -> None:
"""记录任务完成时间并取出异常避免未读取告警。"""
record = self._tasks.get(task_id)
if record:
record.finished_at = datetime.now()
if task.cancelled():
return
try:
task.exception()
except Exception:
return
def _start_tasks(self, specs: list[_SubAgentTaskSpec]) -> list[_SubAgentRuntimeTask]:
"""启动一批异步子代理任务。"""
records = []
for spec in specs:
task_id = f"subagent-{uuid.uuid4().hex[:12]}"
record = _SubAgentRuntimeTask(
task_id=task_id,
description=spec.description.strip(),
subagent_type=spec.subagent_type or "general-purpose",
task=None,
created_at=datetime.now(),
)
task = asyncio.create_task(
self._execute_managed_task(record),
name=task_id,
)
record.task = task
task.add_done_callback(
lambda finished_task, finished_task_id=task_id: self._mark_task_finished(
finished_task_id,
finished_task,
)
)
self._tasks[task_id] = record
records.append(record)
return records
async def _wait_records(
self,
*,
records: list[_SubAgentRuntimeTask],
wait_mode: str,
timeout_ms: Optional[int],
) -> None:
"""按等待模式等待一组任务完成。"""
pending_tasks = [record.task for record in records if not record.task.done()]
if not pending_tasks:
return
timeout = self._normalize_timeout_ms(timeout_ms) / 1000
if timeout <= 0:
return
return_when = asyncio.FIRST_COMPLETED if wait_mode == "any" else asyncio.ALL_COMPLETED
await asyncio.wait(
pending_tasks,
timeout=timeout,
return_when=return_when,
)
async def _cancel_records(self, records: list[_SubAgentRuntimeTask]) -> None:
"""取消一组尚未完成的任务。"""
cancellable_tasks = [
record.task for record in records if not record.task.done()
]
for task in cancellable_tasks:
task.cancel()
if cancellable_tasks:
await asyncio.gather(*cancellable_tasks, return_exceptions=True)
async def _control_task(
self,
action: str = "start",
description: Optional[str] = None,
subagent_type: Optional[str] = "general-purpose",
tasks: Optional[list[_SubAgentTaskSpec]] = None,
task_ids: Optional[list[str]] = None,
task_id: Optional[str] = None,
wait_mode: str = "all",
timeout_ms: Optional[int] = SUBAGENT_DEFAULT_WAIT_TIMEOUT_MS,
) -> str:
"""管理异步子代理任务。"""
if action in {"start", "run"}:
specs, error = self._normalize_specs(
description=description,
subagent_type=subagent_type,
tasks=tasks,
)
if error:
return self._json_response({"success": False, "error": error})
records = self._start_tasks(specs)
if action == "run":
await self._wait_records(
records=records,
wait_mode=wait_mode,
timeout_ms=timeout_ms,
)
return self._json_response(
{
"success": True,
"action": action,
"wait_mode": wait_mode if action == "run" else None,
"tasks": [self._task_output(record) for record in records],
}
)
records, missing_ids = self._selected_records(
task_ids=task_ids,
task_id=task_id,
active_only=action in {"wait", "cancel"} and not task_ids and not task_id,
)
if action == "wait":
await self._wait_records(
records=records,
wait_mode=wait_mode,
timeout_ms=timeout_ms,
)
elif action == "cancel":
await self._cancel_records(records)
return self._json_response(
{
"success": True,
"action": action,
"wait_mode": wait_mode if action == "wait" else None,
"missing_task_ids": missing_ids,
"tasks": [self._task_output(record) for record in records],
}
)
async def aafter_agent(self, state: Any, runtime: Any) -> None:
"""Agent 结束时取消未完成的子代理任务,避免后台泄漏。"""
unfinished_records = [
record for record in self._tasks.values() if not record.task.done()
]
await self._cancel_records(unfinished_records)
class SubAgentCallSummaryMiddleware(AgentMiddleware):
"""记录子代理调用次数的中间件。"""
def __init__(self, *, stream_handler: Any = None) -> None:
self.stream_handler = stream_handler
self.tools = []
async def awrap_tool_call(
self,
request: ToolCallRequest,
handler: Callable[[ToolCallRequest], Awaitable[Any]],
) -> Any:
"""在子代理任务工具执行时记录聚合摘要。"""
tool = request.tool
if (
tool
and getattr(tool, "name", None)
in {SUBAGENT_TASK_TOOL_NAME, SUBAGENT_CONTROL_TOOL_NAME}
and self.stream_handler
and getattr(self.stream_handler, "is_streaming", False)
):
tool_call = request.tool_call or {}
self.stream_handler.record_tool_call(
tool_name=getattr(tool, "name", SUBAGENT_TASK_TOOL_NAME),
tool_message="Subagent invoked",
tool_kwargs=tool_call.get("args") or {},
)
return await handler(request)
def _deepagents_spec(
profiles: tuple[_SubAgentProfile, ...], tools: list[BaseTool]
) -> list[dict[str, Any]]:
"""将内置定义转换为 Deep Agents 子代理配置。"""
specs = []
for profile in profiles:
specs.append(
{
"name": profile.name,
"description": profile.description,
"prompt": profile.prompt,
"tools": _select_tools(tools, profile),
}
)
return specs
def _try_create_deepagents_middleware(
*,
profiles: tuple[_SubAgentProfile, ...],
tools: list[BaseTool],
model: BaseChatModel,
) -> Optional[AgentMiddleware]:
"""优先创建 Deep Agents 官方子代理中间件。"""
try:
from deepagents.backends import StateBackend
from deepagents.middleware.subagents import SubAgentMiddleware
return SubAgentMiddleware(
backend=StateBackend(),
subagents=_deepagents_spec(profiles, tools),
default_model=model,
system_prompt=SUBAGENT_PARENT_PROMPT,
task_description=SUBAGENT_TASK_DESCRIPTION,
)
except ImportError:
return None
except Exception as err:
logger.debug(f"Deep Agents 子代理中间件不可用,使用本地实现: {err}")
return None
def create_subagent_middlewares(
*,
model: BaseChatModel,
tools: list[BaseTool],
stream_handler: Any = None,
) -> tuple[list[AgentMiddleware], list[BaseTool]]:
"""创建子代理中间件列表和任务工具列表。"""
profiles = _builtin_subagent_profiles()
subagent_middleware = _try_create_deepagents_middleware(
profiles=profiles,
tools=tools,
model=model,
)
if subagent_middleware is None:
subagent_middleware = MoviePilotSubAgentMiddleware(
model=model,
profiles=profiles,
tools=tools,
)
control_middleware = SubAgentTaskControlMiddleware(
model=model,
profiles=profiles,
tools=tools,
)
task_tools = [
*list(getattr(subagent_middleware, "tools", []) or []),
*list(getattr(control_middleware, "tools", []) or []),
]
return [
subagent_middleware,
control_middleware,
SubAgentCallSummaryMiddleware(stream_handler=stream_handler),
], task_tools
__all__ = [
"SUBAGENT_CONTROL_TOOL_NAME",
"SUBAGENT_TASK_TOOL_NAME",
"SubAgentTaskControlMiddleware",
"create_subagent_middlewares",
"is_subagent_stream_metadata",
]