'The Creator', 'Dumb Money', 'Expend4bles', 'The Kill Room', 'The Inventor', 'The Equalizer 3', and 'PAW Patrol: The Mighty Movie'."    }    ```        > Finished chain.    "Some movies that are showing on 9/21/2023 include 'The Creator', 'Dumb Money', 'Expend4bles', 'The Kill Room', 'The Inventor', 'The Equalizer 3', and 'PAW Patrol: The Mighty Movie'."We can also initialize the agent executor with a predefined agent typefrom langchain.memory import ConversationBufferMemoryfrom langchain.chat_models import ChatOpenAImemory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)llm = ChatOpenAI(openai_api_key=OPENAI_API_KEY, temperature=0)agent_chain = initialize_agent(tools, llm, agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, verbose=True, memory=memory)PreviousAgent TypesNextOpenAI functionsUsing LCELUse the off-the-shelf agentUse a chat modelCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This walkthrough demonstrates how to use an agent optimized for conversation. Other agents are often optimized for using tools to figure out the best response, which is not ideal in a conversational setting where you may want the agent to be able to chat with the user as well.
This walkthrough demonstrates how to use an agent optimized for conversation. Other agents are often optimized for using tools to figure out the best response, which is not ideal in a conversational setting where you may want the agent to be able to chat with the user as well. ->: 'The Creator', 'Dumb Money', 'Expend4bles', 'The Kill Room', 'The Inventor', 'The Equalizer 3', and 'PAW Patrol: The Mighty Movie'."    }    ```        > Finished chain.    "Some movies that are showing on 9/21/2023 include 'The Creator', 'Dumb Money', 'Expend4bles', 'The Kill Room', 'The Inventor', 'The Equalizer 3', and 'PAW Patrol: The Mighty Movie'."We can also initialize the agent executor with a predefined agent typefrom langchain.memory import ConversationBufferMemoryfrom langchain.chat_models import ChatOpenAImemory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)llm = ChatOpenAI(openai_api_key=OPENAI_API_KEY, temperature=0)agent_chain = initialize_agent(tools, llm, agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, verbose=True, memory=memory)PreviousAgent TypesNextOpenAI functionsUsing LCELUse the off-the-shelf agentUse a chat modelCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.