ForcePilot/backend/package/yuxi/services/subagent_service.py

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"""SubAgent 服务层"""
import asyncio
from contextlib import asynccontextmanager
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from copy import deepcopy
from typing import Any
from sqlalchemy.ext.asyncio import AsyncSession
from yuxi.repositories.subagent_repository import SubAgentRepository
from yuxi.services.mcp_service import get_tools_from_all_servers
from yuxi.storage.postgres.manager import pg_manager
# SubAgent specs cache for get_subagent_specs
_subagent_specs_cache: list[dict[str, Any]] | None = None
_subagent_specs_lock = asyncio.Lock()
@asynccontextmanager
async def _get_session(db: AsyncSession | None = None):
"""获取数据库会话的上下文管理器"""
if db is not None:
yield db
else:
async with pg_manager.get_async_session_context() as session:
yield session
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# 内置 SubAgent 配置
_DEFAULT_SUBAGENTS = [
{
"name": "research-agent",
"description": "利用搜索工具,用于研究更深入的问题。将调研结果写入到主题研究文件中。",
"system_prompt": (
"你是一位专注的研究员。你的工作是根据用户的问题进行研究。"
"进行彻底的研究,然后用详细的答案回复用户的问题,只有你的最终答案会被传递给用户。"
"除了你的最终信息,他们不会知道任何其他事情,所以你的最终报告应该就是你的最终信息!"
"将调研结果保存到主题研究文件中 /sub_research/xxx.md 中。"
),
"tools": ["tavily_search"],
"is_builtin": True,
},
{
"name": "critique-agent",
"description": "用于评论最终报告。给这个代理一些关于你希望它如何评论报告的信息。",
"system_prompt": (
"你是一位专注的编辑。你的任务是评论一份报告。\n\n"
"你可以在 `final_report.md` 找到这份报告。\n\n"
"你可以在 `question.txt` 找到这份报告的问题/主题。\n\n"
"用户可能会要求评论报告的特定方面。请用详细的评论回复用户,指出报告中可以改进的地方。\n\n"
"如果有助于你评论报告,你可以使用搜索工具来搜索信息\n\n"
"不要自己写入 `final_report.md`。\n\n"
"需要检查的事项:\n"
"- 检查每个部分的标题是否恰当\n"
"- 检查报告的写法是否像论文或教科书——它应该是以文本为主,不要只是一个项目符号列表!\n"
"- 检查报告是否全面。如果任何段落或部分过短,或缺少重要细节,请指出来。\n"
"- 检查文章是否涵盖了行业的关键领域,确保了整体理解,并且没有遗漏重要部分。\n"
"- 检查文章是否深入分析了原因、影响和趋势,提供了有价值的见解\n"
"- 检查文章是否紧扣研究主题并直接回答问题\n"
"- 检查文章是否结构清晰、语言流畅、易于理解。"
),
"tools": [],
"is_builtin": True,
},
]
async def init_builtin_subagents() -> None:
"""初始化内置 SubAgent仅创建不存在的"""
async with pg_manager.get_async_session_context() as session:
repo = SubAgentRepository(session)
for data in _DEFAULT_SUBAGENTS:
if not await repo.exists_name(data["name"]):
await repo.create(
name=data["name"],
description=data["description"],
system_prompt=data["system_prompt"],
tools=data.get("tools", []),
model=None,
is_builtin=data.get("is_builtin", False),
created_by="system",
)
async def get_subagent_specs(db: AsyncSession | None = None) -> list[dict[str, Any]]:
"""获取所有 subagent specs用于 SubAgentMiddleware工具名称未解析"""
global _subagent_specs_cache
if _subagent_specs_cache is not None:
return deepcopy(_subagent_specs_cache)
async with _subagent_specs_lock:
if _subagent_specs_cache is not None:
return deepcopy(_subagent_specs_cache)
async with _get_session(db) as session:
repo = SubAgentRepository(session)
subagents = await repo.list_all()
_subagent_specs_cache = [sa.to_subagent_spec() for sa in subagents]
return deepcopy(_subagent_specs_cache)
def invalidate_subagent_specs_cache() -> None:
"""清除 subagent specs 缓存"""
global _subagent_specs_cache
_subagent_specs_cache = None
def resolve_subagent_tools(specs: list[dict[str, Any]], available_tools: list[Any]) -> list[dict[str, Any]]:
"""将 subagent specs 中的工具名称解析为实际工具实例"""
available_by_name = {tool.name: tool for tool in available_tools if hasattr(tool, "name")}
resolved_specs = []
for spec in specs:
resolved_spec = dict(spec)
tool_names = spec.get("tools", [])
resolved_spec["tools"] = [
available_by_name[name] for name in tool_names if isinstance(name, str) and name in available_by_name
]
resolved_specs.append(resolved_spec)
return resolved_specs
async def _get_available_tools() -> list[Any]:
"""获取所有可用的工具实例"""
from yuxi.agents.common.toolkits.buildin.tools import _create_tavily_search
tools = []
# 添加 tavily_search 工具
tavily = _create_tavily_search()
if tavily:
tools.append(tavily)
# 添加 MCP 工具
mcp_tools = await get_tools_from_all_servers()
tools.extend(mcp_tools)
return tools
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async def get_all_subagents(db: AsyncSession | None = None) -> list[dict[str, Any]]:
"""获取所有 SubAgent含禁用的"""
async with _get_session(db) as session:
repo = SubAgentRepository(session)
items = await repo.list_all()
return [item.to_dict() for item in items]
async def get_subagent(name: str, db: AsyncSession | None = None) -> dict[str, Any] | None:
"""获取单个 SubAgent"""
async with _get_session(db) as session:
repo = SubAgentRepository(session)
item = await repo.get_by_name(name)
return item.to_dict() if item else None
async def create_subagent(
data: dict[str, Any],
created_by: str | None,
db: AsyncSession | None = None,
) -> dict[str, Any]:
"""创建 SubAgent"""
async with _get_session(db) as session:
repo = SubAgentRepository(session)
item = await repo.create(
name=data["name"],
description=data["description"],
system_prompt=data["system_prompt"],
tools=data.get("tools"),
model=data.get("model"),
is_builtin=False,
created_by=created_by,
)
invalidate_subagent_specs_cache()
return item.to_dict()
async def update_subagent(
name: str,
data: dict[str, Any],
updated_by: str | None,
db: AsyncSession | None = None,
) -> dict[str, Any] | None:
"""更新 SubAgent"""
async with _get_session(db) as session:
repo = SubAgentRepository(session)
item = await repo.get_by_name(name)
if not item:
return None
if item.is_builtin:
raise ValueError("内置 SubAgent 不可编辑")
item = await repo.update(
item,
description=data.get("description"),
system_prompt=data.get("system_prompt"),
tools=data.get("tools"),
model=data.get("model"),
model_provided="model" in data,
updated_by=updated_by,
)
invalidate_subagent_specs_cache()
return item.to_dict()
async def delete_subagent(name: str, db: AsyncSession | None = None) -> bool:
"""删除 SubAgent"""
async with _get_session(db) as session:
repo = SubAgentRepository(session)
item = await repo.get_by_name(name)
if not item:
return False
if item.is_builtin:
raise ValueError("内置 SubAgent 不可删除")
await repo.delete(item)
invalidate_subagent_specs_cache()
return True