mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
synced 2026-10-01 16:21:20 +00:00
zhangtao
f731c4896e
1. 为部门和菜单拆分详情/树形响应模型，新增兼容别名保留旧接口 2. 新增OPENAI_BASE_URL配置并在AI聊天工具中使用 3. 移除冗余的orm_to_schema和get_with_convert工具方法，改用pydantic原生校验 4. 优化前端主题注释格式
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
from typing import Any
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from agno.agent import Agent
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from agno.models.openai.like import OpenAILike
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from agno.team import Team
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from app.config.setting import settings
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class AgnoFactory:
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"""Agno 工厂类 - 统一管理 Agent、Team 创建逻辑"""
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# 配置常量
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AGENT_DESCRIPTION = "你是一个有用的AI助手，可以帮助用户回答问题和提供帮助。"
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AGENT_INSTRUCTIONS = ["保持回答简洁明了", "如果不确定，请说明"]
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AGENT_EXPECTED_OUTPUT = "中文回答"
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AGENT_TEMPERATURE = 0.7
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NUM_HISTORY_RUNS = 3
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def create_agent(
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self, user_id: str, dept_id: str, session_id: str, db: Any | None = None
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) -> Team:
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"""
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创建带 Agent 的 Team 实例。
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参数:
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- user_id (str): 用户标识。
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- dept_id (str): 部门/团队标识。
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- session_id (str): 会话 ID。
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- db (Any | None): Agno 持久化数据库实例，可选。
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返回:
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- Team: 配置好的 Team。
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"""
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# 创建 Agent
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fastapiadmin_agent = Agent(
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id=user_id,
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name="fastapiadmin_agent",
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role="You are a helpful AI assistant",
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description=self.AGENT_DESCRIPTION,
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tools=[],
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)
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# 创建 Team
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fastapiadmin_team = Team(
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id=dept_id,
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user_id=user_id,
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session_id=session_id,
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model=OpenAILike(
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id=settings.OPENAI_MODEL,
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api_key=settings.OPENAI_API_KEY,
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base_url=settings.OPENAI_BASE_URL,
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temperature=self.AGENT_TEMPERATURE,
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),
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members=[fastapiadmin_agent],
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instructions=self.AGENT_INSTRUCTIONS,
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expected_output=self.AGENT_EXPECTED_OUTPUT,
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add_datetime_to_context=True,
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add_history_to_context=True,
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markdown=True,
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num_history_runs=self.NUM_HISTORY_RUNS,
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input_schema=None,
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output_schema=None,
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parse_response=True,
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read_chat_history=True,
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db=db,
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)
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return fastapiadmin_team
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