68 lines
2.5 KiB
Python
68 lines
2.5 KiB
Python
from deepagents.middleware.filesystem import FilesystemMiddleware
|
||
from deepagents.middleware.patch_tool_calls import PatchToolCallsMiddleware
|
||
from langchain.agents import create_agent
|
||
from langchain.agents.middleware import (
|
||
ModelRetryMiddleware,
|
||
TodoListMiddleware,
|
||
)
|
||
|
||
from yuxi.agents.common import BaseAgent, load_chat_model
|
||
from yuxi.agents.common.backends import create_agent_composite_backend
|
||
from yuxi.agents.common.middlewares import (
|
||
RuntimeConfigMiddleware,
|
||
save_attachments_to_fs,
|
||
)
|
||
from yuxi.agents.common.middlewares.knowledge_base_middleware import KnowledgeBaseMiddleware
|
||
from yuxi.agents.common.middlewares.skills_middleware import SkillsMiddleware
|
||
from yuxi.services.mcp_service import get_tools_from_all_servers
|
||
|
||
|
||
def _create_fs_backend(rt):
|
||
"""创建文件存储后端"""
|
||
return create_agent_composite_backend(rt)
|
||
|
||
|
||
class ChatbotAgent(BaseAgent):
|
||
name = "智能体助手"
|
||
description = "基础的对话机器人，可以回答问题，可在配置中启用需要的工具。"
|
||
capabilities = ["file_upload", "files", "todo"] # 支持文件上传功能
|
||
|
||
def __init__(self, **kwargs):
|
||
super().__init__(**kwargs)
|
||
|
||
async def get_graph(self, **kwargs):
|
||
"""构建图"""
|
||
context = self.context_schema()
|
||
all_mcp_tools = (
|
||
await get_tools_from_all_servers()
|
||
) # 因为异步加载，无法放在 RuntimeConfigMiddleware 的 __init__ 中
|
||
|
||
# 使用 create_agent 创建智能体
|
||
# 注意：tools 参数由 RuntimeConfigMiddleware 在 wrap_model_call 中动态设置
|
||
graph = create_agent(
|
||
model=load_chat_model(fully_specified_name=context.model),
|
||
system_prompt=context.system_prompt,
|
||
middleware=[
|
||
save_attachments_to_fs, # 附件注入提示词
|
||
FilesystemMiddleware(backend=_create_fs_backend), # 文件系统后端
|
||
KnowledgeBaseMiddleware(), # 知识库工具
|
||
RuntimeConfigMiddleware(extra_tools=all_mcp_tools), # 运行时配置应用（模型/工具/MCP/提示词）
|
||
SkillsMiddleware(), # Skills 中间件（提示词注入、依赖展开、动态激活）
|
||
ModelRetryMiddleware(), # 模型重试中间件
|
||
TodoListMiddleware(),
|
||
PatchToolCallsMiddleware(),
|
||
],
|
||
checkpointer=await self._get_checkpointer(),
|
||
)
|
||
|
||
return graph
|
||
|
||
|
||
def main():
|
||
pass
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|
||
# asyncio.run(main())
|