ForcePilot/backend/package/yuxi/agents/middlewares/subagent_task.py

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from __future__ import annotations
import asyncio
import hashlib
import uuid
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from collections.abc import Awaitable, Callable
from typing import Annotated, Any
from deepagents import SubagentTransformer
from deepagents.middleware._utils import append_to_system_message
from langchain.agents.middleware.types import AgentMiddleware, ContextT, ModelRequest, ModelResponse, ResponseT
from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
from langchain_core.tools import StructuredTool
from langgraph.prebuilt.tool_node import ToolRuntime
from langgraph.types import Command
from yuxi.agents.context import build_agent_input_context
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from yuxi.repositories.agent_repository import SUB_AGENT_BACKEND_ID, AgentRepository
from yuxi.repositories.agent_run_repository import AgentRunRepository
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from yuxi.repositories.user_repository import UserRepository
from yuxi.storage.postgres.manager import pg_manager
from yuxi.storage.postgres.models_business import Agent
from yuxi.utils.datetime_utils import utc_isoformat
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from yuxi.utils.subagent_thread_utils import make_child_thread_id
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_CHILD_STATE_INHERIT_KEYS: frozenset[str] = frozenset()
_TERMINAL_RUN_STATUSES = {"completed", "failed", "cancelled", "interrupted"}
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TASK_SYSTEM_PROMPT = """## `task`(子智能体任务工具)
你可以使用 `task` 工具把复杂独立的子任务交给已配置的子智能体处理子智能体只返回最终结果你看不到它的中间步骤
工具结果会包含子智能体线程 ID后续需要继续同一个子任务时把该 ID 作为 `thread_id` 传回 `task`
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使用原则
- 任务足够复杂可以独立完成或需要隔离上下文时使用
- 多个互不依赖的子任务可以并行调用多个 `task`
- 继续既有子智能体任务时传入之前结果中的 `thread_id`新任务不要填写 `thread_id`
- 不要并行调用同一个 `thread_id`避免多个续跑请求同时写入同一子线程
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- 简单问题或少量直接工具调用不要委派
- 调用时必须选择下方可用的 `subagent_type`并在 `description` 中写清目标上下文和期望输出
- 不要通过 shellcurlHTTP API 或命令行间接调用子智能体需要子智能体时必须使用 `task` 工具
Available subagent types:
{available_agents}"""
TASK_TOOL_DESCRIPTION = """Launch a configured Yuxi subagent to handle an isolated task.
Available subagent types:
{available_agents}
Use `subagent_type` to select one available subagent and put the full task brief in `description`.
Omit `thread_id` for a new task. To continue a previous subagent task, pass the child thread ID returned by
that prior task result as `thread_id`.
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Do not call subagents through shell, curl, HTTP APIs, or command-line indirection."""
TASK_DESCRIPTION_ARG = "需要子智能体独立完成的任务描述,包含必要上下文和期望输出。"
SUBAGENT_TYPE_ARG = "要调用的子智能体标识,必须是工具描述中列出的可用类型之一。"
THREAD_ID_ARG = "可选。要继续的既有子智能体线程 ID必须来自之前 task 工具结果;新任务不要填写。"
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def _get_agent_backend(backend_id: str):
from yuxi.agents.buildin import agent_manager
return agent_manager.get_agent(backend_id)
def _final_assistant_text(messages: list[Any]) -> str:
for message in reversed(messages):
if isinstance(message, AIMessage):
text = message.text.rstrip() if message.text else ""
if text:
return text
return "子智能体已完成任务,但没有返回文本结果。"
def _result_artifacts(result: dict[str, Any]) -> list[str]:
artifacts = result.get("artifacts")
return list(artifacts) if isinstance(artifacts, list) else []
def _preview_text(text: str, limit: int = 500) -> str:
return text if len(text) <= limit else f"{text[:limit]}..."
def _tool_result_with_thread_id(child_thread_id: str, content: str) -> str:
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return f"> 子智能体线程 ID: {child_thread_id}\n\n---\n\n{content}"
def _new_child_thread_id(
requested_thread_id: str | None,
*,
parent_thread_id: str,
agent_slug: str,
tool_call_id: str,
) -> tuple[str, bool]:
requested_thread_id = str(requested_thread_id or "").strip()
if requested_thread_id:
return requested_thread_id, True
return make_child_thread_id(parent_thread_id, agent_slug, tool_call_id), False
def _subagent_request_id(parent_run_id: str, child_thread_id: str, tool_call_id: str, agent_slug: str) -> str:
digest = hashlib.sha256(f"{parent_run_id}:{child_thread_id}:{tool_call_id}:{agent_slug}".encode()).hexdigest()
return f"subagent:{digest[:48]}"
def _with_run_payload(subagent_run: dict[str, Any], run) -> dict[str, Any]:
if not run:
return subagent_run
return {**subagent_run, **_agent_run_state_payload(run)}
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def _completed_tool_response(result: dict[str, Any], tool_call_id: str, subagent_run: dict[str, Any]) -> Command:
final_text = _final_assistant_text(result.get("messages") or [])
artifacts = _result_artifacts(result)
subagent_run = {
**subagent_run,
"status": "completed",
"completed_at": utc_isoformat(),
"result_preview": _preview_text(final_text),
"error": None,
"artifacts": artifacts,
}
tool_result = _tool_result_with_thread_id(subagent_run["child_thread_id"], final_text)
update: dict[str, Any] = {"messages": [ToolMessage(tool_result, tool_call_id=tool_call_id)]}
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if artifacts:
update["artifacts"] = artifacts
update["subagent_runs"] = [subagent_run]
return Command(update=update)
def _reused_run_response(run, tool_call_id: str, subagent_run: dict[str, Any]) -> Command:
status = str(getattr(run, "status", "") or "unknown")
if status == "completed":
message = "子智能体任务已完成,未重复执行。"
elif status in _TERMINAL_RUN_STATUSES:
error_message = str(getattr(run, "error_message", "") or "")
message = f"子智能体任务已结束,状态:{status}{error_message}".strip()
else:
message = f"子智能体任务已存在,当前状态:{status},未重复提交。"
subagent_run = {
**subagent_run,
**_agent_run_state_payload(run),
"status": status,
"result_preview": _preview_text(message),
}
tool_message = ToolMessage(
_tool_result_with_thread_id(subagent_run["child_thread_id"], message),
tool_call_id=tool_call_id,
)
return Command(update={"messages": [tool_message], "subagent_runs": [subagent_run]})
def _agent_run_state_payload(run) -> dict[str, Any]:
payload = {
"run_id": run.id,
"status": run.status,
"parent_agent_run_id": run.parent_agent_run_id,
"created_at": utc_isoformat(run.created_at) if run.created_at else None,
"completed_at": utc_isoformat(run.finished_at) if run.finished_at else None,
"error": run.error_message,
}
return {key: value for key, value in payload.items() if value is not None}
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def _failed_tool_response(error: Exception, tool_call_id: str, subagent_run: dict[str, Any]) -> Command:
error_text = str(error)
message = f"子智能体 {subagent_run['subagent_type']} 调用失败:{error_text}"
tool_result = _tool_result_with_thread_id(subagent_run["child_thread_id"], message)
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update = {
"messages": [ToolMessage(tool_result, tool_call_id=tool_call_id)],
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"subagent_runs": [
{
**subagent_run,
"status": "failed",
"completed_at": utc_isoformat(),
"result_preview": _preview_text(message),
"error": error_text,
"artifacts": [],
}
],
}
return Command(update=update)
def _state_for_child(
description: str,
runtime: ToolRuntime,
*,
parent_thread_id: str,
file_thread_id: str,
skills_thread_id: str,
continuing: bool = False,
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) -> dict[str, Any]:
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state = {} if continuing else {key: runtime.state[key] for key in _CHILD_STATE_INHERIT_KEYS if key in runtime.state}
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state.update(
{
"parent_thread_id": parent_thread_id,
"file_thread_id": file_thread_id,
"skills_thread_id": skills_thread_id,
}
)
state["messages"] = [HumanMessage(content=description)]
return state
def _child_config(
runtime: ToolRuntime,
*,
child_thread_id: str,
uid: str,
parent_thread_id: str,
file_thread_id: str,
skills_thread_id: str,
subagent_type: str,
run_id: str | None = None,
request_id: str | None = None,
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) -> dict:
parent_config = runtime.config or {}
config: dict[str, Any] = {}
if "callbacks" in parent_config:
config["callbacks"] = parent_config["callbacks"]
if "tags" in parent_config:
config["tags"] = parent_config["tags"]
parent_configurable = (
parent_config.get("configurable") if isinstance(parent_config.get("configurable"), dict) else {}
)
parent_configurable = {
key: value
for key, value in parent_configurable.items()
if not str(key).startswith(("checkpoint_", "__pregel_"))
}
config["configurable"] = {
**parent_configurable,
"thread_id": child_thread_id,
"uid": uid,
"parent_thread_id": parent_thread_id,
"file_thread_id": file_thread_id,
"skills_thread_id": skills_thread_id,
"subagent_type": subagent_type,
"subagent_thread_id": child_thread_id,
"subagent_tool_call_id": runtime.tool_call_id,
"run_id": run_id,
"request_id": request_id,
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"ls_agent_type": "subagent",
}
config["recursion_limit"] = parent_config.get("recursion_limit", 300)
return config
class YuxiSubAgentMiddleware(AgentMiddleware[Any, ContextT, ResponseT]):
def __init__(self, *, parent_context, subagents: list[Agent]) -> None:
super().__init__()
self.parent_context = parent_context
self.subagents = {agent.slug: agent for agent in subagents}
available_agents = "\n".join(f"- {agent.slug}: {agent.description or agent.name}" for agent in subagents)
self.system_prompt = TASK_SYSTEM_PROMPT.format(available_agents=available_agents)
self.tools = [self._build_task_tool(available_agents)]
self.subagent_names = frozenset(self.subagents)
self.transformers = [lambda scope: SubagentTransformer(scope, subagent_names=self.subagent_names)]
async def _create_subagent_run(
self,
*,
child_thread_id: str,
description: str,
subagent_type: str,
agent: Agent,
uid: str,
parent_thread_id: str,
tool_call_id: str,
continuing: bool,
):
parent_run_id = str(getattr(self.parent_context, "run_id", "") or "").strip()
if not parent_run_id:
raise ValueError("当前运行时缺少父运行 ID无法记录子智能体运行")
async with pg_manager.get_async_session_context() as db:
repo = AgentRunRepository(db)
parent_run = await repo.get_run_for_user(parent_run_id, uid)
if not parent_run:
raise ValueError("父运行任务不存在")
if continuing:
previous = await repo.get_latest_subagent_run_by_thread_for_user(child_thread_id, uid)
if not previous or previous.conversation_id != parent_run.conversation_id:
raise ValueError(
f"无法继续子智能体线程 {child_thread_id}:当前对话中没有找到对应的子智能体运行记录"
)
if previous.agent_id != subagent_type:
raise ValueError(
f"无法继续子智能体线程 {child_thread_id}:该线程属于子智能体 {previous.agent_id or '未知'}"
)
request_id = _subagent_request_id(parent_run_id, child_thread_id, tool_call_id, agent.slug)
existing = await repo.get_run_by_request_id(request_id)
if existing:
return existing, False
run = await repo.create_run(
run_id=str(uuid.uuid4()),
thread_id=child_thread_id,
agent_id=subagent_type,
uid=uid,
request_id=request_id,
conversation_id=parent_run.conversation_id,
parent_agent_run_id=parent_run.id,
run_type="subagent",
checkpoint_thread_id=child_thread_id,
input_payload={
"description": description,
"tool_call_id": tool_call_id,
"subagent_type": subagent_type,
"subagent_name": agent.name,
"parent_thread_id": parent_thread_id,
"child_thread_id": child_thread_id,
"continuing": continuing,
},
)
return await repo.mark_running(run.id), True
async def _set_subagent_run_status(
self,
run_id: str,
status: str,
*,
error_type: str | None = None,
error_message: str | None = None,
):
async with pg_manager.get_async_session_context() as db:
return await AgentRunRepository(db).set_terminal_status(
run_id,
status=status,
error_type=error_type,
error_message=error_message,
)
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def _build_task_tool(self, available_agents: str) -> StructuredTool:
def task(
description: Annotated[str, TASK_DESCRIPTION_ARG],
subagent_type: Annotated[str, SUBAGENT_TYPE_ARG],
runtime: ToolRuntime,
thread_id: Annotated[str | None, THREAD_ID_ARG] = None,
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) -> str:
return "task 工具仅支持异步调用"
async def atask(
description: Annotated[str, TASK_DESCRIPTION_ARG],
subagent_type: Annotated[str, SUBAGENT_TYPE_ARG],
runtime: ToolRuntime,
thread_id: Annotated[str | None, THREAD_ID_ARG] = None,
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) -> str | Command:
if subagent_type not in self.subagents:
allowed = ", ".join(f"`{slug}`" for slug in self.subagents)
return f"无法调用子智能体 {subagent_type},可用子智能体只有:{allowed}"
if not runtime.tool_call_id:
raise ValueError("Tool call ID is required for subagent invocation")
parent_thread_id = str(
getattr(self.parent_context, "parent_thread_id", None) or self.parent_context.thread_id
)
file_thread_id = str(getattr(self.parent_context, "file_thread_id", None) or parent_thread_id)
uid = str(getattr(self.parent_context, "uid", "") or "").strip()
if not uid:
return "无法调用子智能体:当前运行时缺少 uid"
agent = self.subagents[subagent_type]
backend = _get_agent_backend(agent.backend_id)
if not backend or agent.backend_id != SUB_AGENT_BACKEND_ID:
return f"无法调用子智能体 {subagent_type}:后端配置无效"
child_thread_id, continuing = _new_child_thread_id(
thread_id,
parent_thread_id=parent_thread_id,
agent_slug=agent.slug,
tool_call_id=runtime.tool_call_id,
)
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subagent_run = {
"id": runtime.tool_call_id,
"subagent_type": subagent_type,
"subagent_name": agent.name,
"child_thread_id": child_thread_id,
"description": description,
"created_at": utc_isoformat(),
}
try:
run, is_new_run = await self._create_subagent_run(
child_thread_id=child_thread_id,
description=description,
subagent_type=subagent_type,
agent=agent,
uid=uid,
parent_thread_id=parent_thread_id,
tool_call_id=runtime.tool_call_id,
continuing=continuing,
)
except ValueError as exc:
return str(exc)
subagent_run = _with_run_payload(subagent_run, run)
if not is_new_run:
return _reused_run_response(run, runtime.tool_call_id, subagent_run)
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child_context = backend.context_schema()
config_context = (agent.config_json or {}).get("context") if isinstance(agent.config_json, dict) else None
child_input_context = await build_agent_input_context(
config_context if isinstance(config_context, dict) else {},
thread_id=child_thread_id,
uid=uid,
run_id=run.id,
request_id=run.request_id,
)
child_context.update_from_dict(child_input_context)
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child_context.uid = uid
child_context.thread_id = child_thread_id
child_context.parent_thread_id = parent_thread_id
child_context.file_thread_id = file_thread_id
child_context.skills_thread_id = child_thread_id
child_context.run_id = run.id
child_context.request_id = run.request_id
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child_context.is_subagent_runtime = True
try:
graph = await backend.get_graph(context=child_context)
result = await graph.ainvoke(
_state_for_child(
description,
runtime,
parent_thread_id=parent_thread_id,
file_thread_id=file_thread_id,
skills_thread_id=child_thread_id,
continuing=continuing,
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),
config=_child_config(
runtime,
child_thread_id=child_thread_id,
uid=uid,
parent_thread_id=parent_thread_id,
file_thread_id=file_thread_id,
skills_thread_id=child_thread_id,
subagent_type=subagent_type,
run_id=run.id,
request_id=run.request_id,
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),
context=child_context,
)
except asyncio.CancelledError:
await self._set_subagent_run_status(run.id, "cancelled")
raise
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except Exception as exc:
failed_run = await self._set_subagent_run_status(
run.id,
"failed",
error_type=type(exc).__name__,
error_message=str(exc),
)
return _failed_tool_response(exc, runtime.tool_call_id, _with_run_payload(subagent_run, failed_run))
completed_run = await self._set_subagent_run_status(run.id, "completed")
return _completed_tool_response(
result, runtime.tool_call_id, _with_run_payload(subagent_run, completed_run)
)
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return StructuredTool.from_function(
name="task",
func=task,
coroutine=atask,
description=TASK_TOOL_DESCRIPTION.format(available_agents=available_agents),
infer_schema=True,
)
def wrap_model_call(
self,
request: ModelRequest[ContextT],
handler: Callable[[ModelRequest[ContextT]], ModelResponse[ResponseT]],
) -> ModelResponse[ResponseT]:
return handler(
request.override(system_message=append_to_system_message(request.system_message, self.system_prompt))
)
async def awrap_model_call(
self,
request: ModelRequest[ContextT],
handler: Callable[[ModelRequest[ContextT]], Awaitable[ModelResponse[ResponseT]]],
) -> ModelResponse[ResponseT]:
return await handler(
request.override(system_message=append_to_system_message(request.system_message, self.system_prompt))
)
async def create_subagent_task_middleware(parent_context) -> YuxiSubAgentMiddleware | None:
selected_slugs = [
str(slug).strip() for slug in (getattr(parent_context, "subagents", None) or []) if str(slug).strip()
]
uid = str(getattr(parent_context, "uid", "") or "").strip()
if not uid:
return None
async with pg_manager.get_async_session_context() as db:
user = await UserRepository().get_by_uid_with_db(db, uid)
if user is None:
return None
repo = AgentRepository(db)
if selected_slugs:
subagents: list[Agent] = []
seen: set[str] = set()
for slug in selected_slugs:
if slug in seen:
continue
seen.add(slug)
agent = await repo.get_visible_subagent_by_slug(slug=slug, user=user)
if agent and agent.backend_id == SUB_AGENT_BACKEND_ID:
subagents.append(agent)
else:
subagents = [
agent
for agent in await repo.list_visible_subagents(user=user)
if agent.backend_id == SUB_AGENT_BACKEND_ID
]
if not subagents:
return None
return YuxiSubAgentMiddleware(parent_context=parent_context, subagents=subagents)