mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
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zhangtao
fa680c03d3
1. 新增Redis AI_MODEL_CONFIG枚举与后端AI模型配置CRUD接口 2. 升级vue-img-cutter到3.1.1版本，更新前端依赖 3. 重构前端多处ElMessage提示逻辑，统一由拦截器处理 4. 替换ElDrawer为FaDrawer组件，统一弹窗组件库 5. 重构文章详情、评论组件，新增租户切换器与AI配置面板 6. 优化代码生成模板、菜单树表格逻辑与代码高亮样式 7. 修复前端路由与组件命名问题，更新快速入口配置
93 lines
3.1 KiB
Python
93 lines
3.1 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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REQUEST_TIMEOUT = 60.0 # LLM 请求总超时（秒），流式响应需放长
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CONNECT_TIMEOUT = 10.0 # TCP 连接超时（秒）
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def create_agent(
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self,
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user_id: str,
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dept_id: str,
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session_id: str,
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db: Any | None = None,
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model_config: dict[str, 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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- model_config (dict | None): 运行时模型配置，覆盖系统默认。
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支持字段：base_url, api_key, model_id, temperature。
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返回:
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- Team: 配置好的 Team。
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"""
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# 优先使用运行时配置，否则 fallback 到系统 settings
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base_url = settings.OPENAI_BASE_URL
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api_key = settings.OPENAI_API_KEY
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model_id = settings.OPENAI_MODEL
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temperature = self.AGENT_TEMPERATURE
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if model_config:
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base_url = model_config.get("base_url") or base_url
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api_key = model_config.get("api_key") or api_key
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model_id = model_config.get("model_id") or model_id
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if isinstance(model_config.get("temperature"), (int, float)):
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temperature = float(model_config["temperature"])
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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=model_id,
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api_key=api_key,
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base_url=base_url,
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temperature=temperature,
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timeout=self.REQUEST_TIMEOUT,
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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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