langchain agent简单使用；文档总结load_summarize_chain

1、langchain agent简单使用

参考：https://zhuanlan.zhihu.com/p/643868934?utm_id=0

from langchain.agents.agent_toolkits import create_python_agent
from langchain.agents import load_tools, initialize_agent
from langchain.agents import AgentType
from langchain.tools.python.tool import PythonREPLTool
from langchain.python import PythonREPL
from langchain.chat_models import ChatOpenAI
 

#创建llm；llm调用本地模型
api_base_url = "http://localhost:10860/v1" 
api_key= "EMPTY"
LLM_MODEL = "/mnt/data/loong/AquilaChat2-7B"
llm = ChatOpenAI(
    streaming=True,
    verbose=True,
    # callbacks=[callback],
    openai_api_key=api_key,
    openai_api_base=api_base_url,
    model_name=LLM_MODEL
)


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#定义工具
tools = load_tools(["llm-math"], llm=llm)
 
#创建代理； ReAct框架默认
agent= initialize_agent(
    tools, 
    llm, 
    agent=A
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