"""SubAgent 服务层""" import asyncio from copy import deepcopy from contextlib import asynccontextmanager 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 # 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 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