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from langchain.agents import load_tools | |
from langchain.agents import initialize_agent | |
from langchain.agents import AgentType | |
from langchain.llms import OpenAI | |
# First, let's load the language model we're going to use to control the agent. | |
llm = OpenAI(temperature=0) | |
# Next, let's load some tools to use. Note that the `llm-math` tool uses an LLM, so we need to pass that in. | |
tools = load_tools(["serpapi", "llm-math"], llm=llm) | |
# Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use. | |
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True) | |
# Now let's test it out! | |
agent.run("昨天北京气温如何?") |