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from langchain.chat_models import ChatOpenAI | |
from langchain.agents import ( | |
AgentType, | |
load_tools, | |
initialize_agent | |
) | |
from langchain.memory import ConversationBufferMemory | |
from langchain.callbacks import StdOutCallbackHandler | |
class SmartChatAgent: | |
def __init__(self) -> None: | |
self.memory = ConversationBufferMemory( | |
memory_key="chat_history", | |
return_messages=True | |
) | |
self.llm = ChatOpenAI() | |
self.tools = load_tools(['google-search']) | |
self.agent = initialize_agent( | |
self.tools, | |
self.llm, | |
agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, | |
memory=self.memory, | |
verbose=True, | |
) | |
def run(self, text): | |
handler = StdOutCallbackHandler() | |
return self.agent.run(text, callbacks=[handler]) |