211 lines
8.1 KiB
Python
211 lines
8.1 KiB
Python
"""SubAgent 服务层"""
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import asyncio
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from contextlib import asynccontextmanager
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from copy import deepcopy
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from typing import Any
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from sqlalchemy.ext.asyncio import AsyncSession
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from yuxi.repositories.subagent_repository import SubAgentRepository
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from yuxi.storage.postgres.manager import pg_manager
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from yuxi.utils import logger
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# SubAgent specs cache for get_subagent_specs
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_subagent_specs_cache: list[dict[str, Any]] | None = None
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_subagent_specs_lock = asyncio.Lock()
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@asynccontextmanager
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async def _get_session(db: AsyncSession | None = None):
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"""获取数据库会话的上下文管理器"""
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if db is not None:
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yield db
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else:
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async with pg_manager.get_async_session_context() as session:
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yield session
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# 内置 SubAgent 配置
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_DEFAULT_SUBAGENTS = [
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{
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"name": "research-agent",
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"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。",
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"system_prompt": (
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"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。"
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"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。"
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"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！"
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"将调研结果保存到主题研究文件中 /sub_research/xxx.md 中。"
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),
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"tools": ["tavily_search"],
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"is_builtin": True,
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},
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{
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"name": "critique-agent",
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"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。",
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"system_prompt": (
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"你是一位专注的编辑。你的任务是评论一份报告。\n\n"
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"你可以在 `final_report.md` 找到这份报告。\n\n"
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"你可以在 `question.txt` 找到这份报告的问题/主题。\n\n"
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"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"
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"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"
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"不要自己写入 `final_report.md`。\n\n"
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"需要检查的事项：\n"
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"- 检查每个部分的标题是否恰当\n"
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"- 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"
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"- 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"
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"- 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"
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"- 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"
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"- 检查文章是否紧扣研究主题并直接回答问题\n"
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"- 检查文章是否结构清晰、语言流畅、易于理解。"
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),
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"tools": [],
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"is_builtin": True,
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},
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]
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async def init_builtin_subagents() -> None:
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"""初始化内置 SubAgent（仅创建不存在的）"""
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async with pg_manager.get_async_session_context() as session:
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repo = SubAgentRepository(session)
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for data in _DEFAULT_SUBAGENTS:
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if not await repo.exists_name(data["name"]):
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await repo.create(
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name=data["name"],
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description=data["description"],
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system_prompt=data["system_prompt"],
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tools=data.get("tools", []),
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model=None,
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is_builtin=data.get("is_builtin", False),
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created_by="system",
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)
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async def get_subagent_specs(db: AsyncSession | None = None) -> list[dict[str, Any]]:
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"""获取所有 subagent specs，用于 SubAgentMiddleware（工具名称未解析）"""
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global _subagent_specs_cache
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if _subagent_specs_cache is not None:
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return deepcopy(_subagent_specs_cache)
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async with _subagent_specs_lock:
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if _subagent_specs_cache is not None:
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return deepcopy(_subagent_specs_cache)
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async with _get_session(db) as session:
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repo = SubAgentRepository(session)
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_subagent_specs_cache = await repo.list_all_specs()
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return deepcopy(_subagent_specs_cache)
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def clear_specs_cache() -> None:
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"""清除 subagent specs 缓存"""
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global _subagent_specs_cache
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_subagent_specs_cache = None
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async def get_subagents_from_names(selected_names: Any, *, db: AsyncSession | None = None) -> list[dict[str, Any]]:
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"""根据名称获取 subagent specs（含工具解析）。"""
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specs = await get_subagent_specs(db)
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if not selected_names:
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return []
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selected_set = set(selected_names)
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available = {spec["name"] for spec in specs if isinstance(spec.get("name"), str)}
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matched = [spec for spec in specs if spec.get("name") in selected_set]
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missing = [n for n in selected_names if n not in available]
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if missing:
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logger.warning(f"Configured subagents not found, skip: {missing}")
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# 处理工具
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# 仅从子智能体配置中的工具名称进行解析；不做 Tavily/MCP 特殊注入。
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from yuxi.agents.toolkits import get_all_tool_instances
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all_tools = get_all_tool_instances()
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all_tool_names = {tool.name: tool for tool in all_tools}
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resolved_specs = []
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for spec in matched:
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resolved_spec = dict(spec)
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tool_names = spec.get("tools", [])
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resolved_spec["tools"] = [all_tool_names[name] for name in tool_names if name in all_tool_names]
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resolved_specs.append(resolved_spec)
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return resolved_specs
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async def get_all_subagents(db: AsyncSession | None = None) -> list[dict[str, Any]]:
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"""获取所有 SubAgent（含禁用的）"""
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async with _get_session(db) as session:
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repo = SubAgentRepository(session)
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items = await repo.list_all()
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return [item.to_dict() for item in items]
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async def get_subagent(name: str, db: AsyncSession | None = None) -> dict[str, Any] | None:
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"""获取单个 SubAgent"""
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async with _get_session(db) as session:
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repo = SubAgentRepository(session)
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item = await repo.get_by_name(name)
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return item.to_dict() if item else None
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async def create_subagent(
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data: dict[str, Any],
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created_by: str | None,
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db: AsyncSession | None = None,
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) -> dict[str, Any]:
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"""创建 SubAgent"""
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async with _get_session(db) as session:
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repo = SubAgentRepository(session)
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item = await repo.create(
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name=data["name"],
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description=data["description"],
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system_prompt=data["system_prompt"],
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tools=data.get("tools"),
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model=data.get("model"),
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is_builtin=False,
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created_by=created_by,
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)
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clear_specs_cache()
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return item.to_dict()
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async def update_subagent(
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name: str,
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data: dict[str, Any],
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updated_by: str | None,
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db: AsyncSession | None = None,
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) -> dict[str, Any] | None:
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"""更新 SubAgent"""
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async with _get_session(db) as session:
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repo = SubAgentRepository(session)
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item = await repo.get_by_name(name)
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if not item:
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return None
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if item.is_builtin:
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raise ValueError("内置 SubAgent 不可编辑")
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item = await repo.update(
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item,
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description=data.get("description"),
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system_prompt=data.get("system_prompt"),
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tools=data.get("tools"),
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model=data.get("model"),
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model_provided="model" in data,
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updated_by=updated_by,
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)
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clear_specs_cache()
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return item.to_dict()
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async def delete_subagent(name: str, db: AsyncSession | None = None) -> bool:
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"""删除 SubAgent"""
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async with _get_session(db) as session:
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repo = SubAgentRepository(session)
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item = await repo.get_by_name(name)
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if not item:
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return False
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if item.is_builtin:
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raise ValueError("内置 SubAgent 不可删除")
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await repo.delete(item)
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clear_specs_cache()
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return True
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