LangChain中的PythonREPLTool是一个内置工具,它允许在LangChain的代理(Agent)或链(Chain)中执行Python代码。这使得开发者能够在LLM(大型语言模型)的上下文中,动态地调用Python函数或执行任意的Python代码片段,从而极大地扩展了LLM的能力。以下是关于PythonREPLTool的详细解答: 1. PythonREPLTool的基本概念 定义:PythonREPL...
# 导入Python REPL工具并实例化Python代理from langchain.agents.agent_toolkits import create_python_agentfrom langchain.tools.python.tool import PythonREPLToolfrom langchain.python import PythonREPLfrom langchain.llms.openai import OpenAIagent_executor = create_python_agent( llm=OpenAI(temperature=0, ...
repl=PythonREPL()@tool defpython_repl(code:Annotated[str,"The python code to execute to generate your chart."]):"""Use this to execute python code. If you want to see the output of a value, you should print it out with `print(...)`. This is visible to the user."""try:result=...
{"action":"Python REPL","action_input": {"query":"import csv\n\nwith open('customer_spending.csv', 'r') as file:\nreader = csv.reader(file)\nheaders = next(reader)\nspending = {header: [] for header in headers}\nfor row in reader:\nfor i, value in enumerate(row):\nspendi...
2.初始化 Agent，并将工具传入，工具为PythonREPLTool()。3.对代理输入问题。4.代理运行过程打开 Debug...
python_repl:执行Python代码 requests:调用HTTP API 代码示例:调用维基百科工具 from langchain.agents import load_tools tools = load_tools(["wikipedia"]) agent = initialize_agent( tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION ) print(agent.run("爱因斯坦获得诺贝尔奖的年份是?")) # 输出:...
1)引入Python代码解释器工具。 fromlangchain_experimental.toolsimportPythonREPLTool pythonREPLTool = PythonREPLTool() 2)引入维基百科查询工具。 fromlangchain.toolsimportWikipediaQueryRunfromlangchain_community.utilitiesimportWikipediaAPIWrapper wikipedia = WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper()) ...
from langchain.tools import PythonREPLTool from langchain.agents import initialize_agent # 加载个人的OpenAI Token key = 'open_ai_key' # 创建OpenAI调用实例 # 在本示例中,大模型需要作为一个严谨的逻辑解析工具,所以temperature设置为0 llm = ChatOpenAI(temperature=0, openai_api_key=key) ...
PythonREPLToolfrom langchain.python import PythonREPLfrom langchain.llms.openai import OpenAIagent_executor = create_python_agent( llm=OpenAI(temperature=0, max_tokens=1000), tool=PythonREPLTool(), verbose=True) # 执行Python代理agent_executor.run("找到二次函数3 * x ** 2 + 2 * x - 1的...
Python REPL tool:LangChain has a PythonREPL tool that can execute Python code within a LangChain application. Jupyter Notebook integration:LangChain can be used within Jupyter Notebooks, where Python code can be executed. Custom tools:You can create custom tools in LangChain that execute Python ...