search=SerpAPIWrapper()llm_math_chain=LLMMathChain(llm=llm,verbose=True)tools=[Tool.from_function(func=search.run,name="Search",description="useful for when you need to answer questions about current events"# coroutine= ... <- you can specify an async method if desired as well),] frompyda...
from langchain.tools import DuckDuckGoSearchRun from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI search = DuckDuckGoSearchRun() template = """turn the following user input into a search query for a...
tools import DuckDuckGoSearchRun from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI search = DuckDuckGoSearchRun() template = """turn the following user input into a search query for a search engine:...
fromlangchain.schema.agentimportAgentFinishdefroute(result):ifisinstance(result,AgentFinish):returnresult.return_values['output']else:tools={"search_wikipedia":search_wikipedia,"get_current_temperature":get_current_temperature,}returntools[result.tool].run(result.tool_input) 这里需要说明的是route函数通过...
当然DuckDuckGoSearch在LangChain中本身就可以用DuckDuckGoSearchRun()来初始化,这里Sam也给出了另一个自定义Tools的例子 def meaning_of_life(input=""): return 'The meaning of life is 42 if rounded but is actually 42.17658' life_tool = Tool( name='Meaning of Life', func= meaning_of_life, descri...
llamaindex_to_langchain_converted_tools = [t.to_langchain_tool() for t in query_engine_tools] 除此以外我们还定义了一个附加的带有Web搜索功能的Langchain工具。这样可以进行页面搜索 search = DuckDuckGoSearchRun() duckduckgo_tool = Tool(
# 导入并初始化Pinecone客户端import osimport pineconefrom langchain.vectorstores import Pineconepinecone.init( api_key=os.getenv('PINECONE_API_KEY'), environment=os.getenv('PINECONE_ENV') ) # 上传向量到Pineconeindex_name = "langchain-quickstart"search = Pinecone.from_documents(texts, em...
pip install google-search-results 1. 三、使用案例 import os from langchain.agents import load_tools from langchain.agents import initialize_agent from langchain.llms import OpenAI from langchain.agents import AgentType # openAI的Key os.environ["OPENAI_API_KEY"] = '***' # 谷歌搜索的Key os...
在tools列表中,增加search_by_exact 和 search_by_fuzzy 两个工具能力,其他逻辑不变。 tools = [ Tool( name="search_by_exact", func=search_by_exact_query, description="当需要准确回答用户问题时使用此工具。使用时需提供参数['query']。如果查询为错误代码,直接查询并返回对应的错误原因和解决方法;如果观...
Input should be a search query.\nterminal: Run shell commands on this Linux machine.\ntime: time(text: str) -> str - 返回今天的日期,将其用于与今天的日期相关的任何问题。\n 输入应始终为空字符串, 此函数将始终返回今天的date,任何日期的数学运算都应在此函数之外发生\n\nThe way you use the...