[WIP] Add core configuration for Aliyun integration

[Copilot]

Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.

import os
import lancedb
import warnings
from typing import Type
from pydantic import BaseModel, Field

屏蔽掉 Pydantic 和 Deprecation 的刷屏警告

warnings.filterwarnings("ignore")

from crewai import Agent, Task, Crew, Process

导入基础工具类

from langchain.tools import BaseTool
from langchain_community.chat_models import ChatOpenAI
from langchain_huggingface import HuggingFaceEmbeddings
from crewai_tools import DirectoryReadTool

==========================================

1. 核心配置：直连阿里云

==========================================

ALIYUN_API_KEY = "你的_API_KEY" # ⚠️ 请确保填入真实 Key
os.environ["OPENAI_API_KEY"] = ALIYUN_API_KEY
BASE_URL = "https://coding.dashscope.aliyuncs.com/v1"

def get_model(name, temp=0.3):
return ChatOpenAI(
model=name,
openai_api_base=BASE_URL,
openai_api_key=ALIYUN_API_KEY,
temperature=temp
)

定义各个专家的大脑

llm_boss = get_model("glm-5")
llm_reader = get_model("qwen3.5-plus", 0.1)
llm_logic = get_model("qwen3-coder-plus", 0.2)
llm_critic = get_model("qwen3.5-plus", 0.4)

==========================================

2. 定义工具参数校验模型 (Pydantic 喜欢这个)

==========================================

class SearchInput(BaseModel):
query: str = Field(description="需要在私有库检索的关键词或短语")

==========================================

3. 将函数转化为正式的 BaseTool 类

==========================================

class MyLanceDBTool(BaseTool):
name: str = "LanceDB_Search"
description: str = "用于检索实验室私有知识库，获取文献细节、实验方案或历史数据。"
args_schema: Type[BaseModel] = SearchInput

def _run(self, query: str) -> str:
    """这是工具执行的核心逻辑"""
    try:
        LANCEDB_DIR = "/home/reny29/lancedb_data"
        db = lancedb.connect(LANCEDB_DIR)
        
        # 兼容性检查：确保表存在
        if "lab_knowledge" not in db.table_names():
            return "提示：私有数据库尚未构建，请先运行 ingest_data.py。"
        
        table = db.open_table("lab_knowledge")
        
        # 本地向量化
        embed = HuggingFaceEmbeddings(model_name="BAAI/bge-small-zh-v1.5")
        q_vec = embed.embed_query(query)
        
        # 搜索
        res = table.search(q_vec).limit(3).to_pandas()
        if res.empty: return "未找到匹配记录。"
        
        return "\n".join(res['text'].astype(str).tolist())
    except Exception as e:
        return f"搜索工具运行异常: {e}"

实例化工具

lancedb_tool = MyLanceDBTool()
local_paper_tool = DirectoryReadTool(directory_path="/home/reny29/papers")

==========================================

4. 重新构建 Agent 团队

==========================================

scientist = Agent(
role='医学机制科学家',
goal='结合本地文献挖掘分子靶点',
backstory='你是一个极其严谨、重视证据的科学家。',
llm=llm_reader,
tools=[local_paper_tool, lancedb_tool], # 现在是标准的 Tool 实例了
verbose=True,
allow_delegation=False
)

methodologist = Agent(
role='统计方法专家',
goal='设计严谨的数据分析方案',
backstory='你擅长处理高维组学数据和构建复杂模型。',
llm=llm_logic,
verbose=True,
allow_delegation=False
)

reviewer = Agent(
role='独立审核专家',
goal='指出方案逻辑硬伤',
backstory='你以尖锐、专业的审稿意见著称。',
llm=llm_critic,
verbose=True,
allow_delegation=False
)

director = Agent(
role='实验室总监 (PI)',
goal='输出可落地的科研手册',
backstory='你统筹全局，提升课题的医学价值。',
llm=llm_boss,
verbose=True,
allow_delegation=False
)

==========================================

5. 启动任务

==========================================

if name == "main":
print("\n🚀 [Aliyun Team] 正在尝试唤醒专家团队...")
topic = input("👩‍🔬 [PI reny29] 请输入今日科研探索方向：\n> ")

tasks = [
    Task(description=f"基于本地知识库，分析【{topic}】的核心分子机制。", expected_output="机制分析报告", agent=scientist),
    Task(description="为该课题设计统计学和 AI 算法验证方案。", expected_output="技术方案", agent=methodologist),
    Task(description="对上述内容进行 Peer Review，找出漏洞并提出修改。", expected_output="评审意见", agent=reviewer),
    Task(description="汇总定稿最终的科研执行计划书。", expected_output="最终版执行计划书", agent=director)
]

crew = Crew(
    agents=[scientist, methodologist, reviewer, director],
    tasks=tasks,
    process=Process.sequential
)

result = crew.kickoff()
print("\n" + "="*50 + "\n🏆 最终科研执行计划书：\n" + "="*50)
print(result)

这个code现在报错
(openclaw-env) reny29@DESKTOP-88GMTT4:~/medical_research_agents$ python research_team.py
/home/reny29/medical_research_agents/research_team.py:24: LangChainDeprecationWarning: The class ChatOpenAI was deprecated in LangChain 0.0.10 and will be removed in 1.0. An updated version of the class exists in the :class:~langchain-openai package and should be used instead. To use it run pip install -U :class:~langchain-openai and import as from :class:langchain_openai import ChatOpenAI``.
  return ChatOpenAI(
Traceback (most recent call last):
  File "/home/reny29/medical_research_agents/research_team.py", line 82, in
    scientist = Agent(
  File "/home/reny29/miniforge3/envs/openclaw-env/lib/python3.10/site-packages/pydantic/main.py", line 253, in init
    validated_self = self.pydantic_validator.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for Agent
tools.1
  Input should be a valid dictionary or instance of BaseTool [type=model_type, input_value=MyLanceDBTool(), input_type=MyLanceDBTool]
    For further information visit https://errors.pydantic.dev/2.11/v/model_type
(openclaw-env) reny29@DESKTOP-88GMTT4:/medical_research_agents$
如何修改呢

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