LLMMathChainfrom langchain.utilities import SerpAPIWrappersearch = SerpAPIWrapper()tools = [    Tool(        name="Search",        func=search.run,        description="useful for when you need to answer questions about current events",    ),    Tool(        name="Music Search",        func=lambda x: "'All I Want For Christmas Is You' by Mariah Carey.",  # Mock Function        description="A Music search engine. Use this more than the normal search if the question is about Music, like 'who is the singer of yesterday?' or 'what is the most popular song in 2022?'",    ),]agent = initialize_agent(    tools,    OpenAI(temperature=0),    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,)agent.run("what is the most famous song of christmas")            > Entering new AgentExecutor chain...     I should use a music search engine to find the answer    Action: Music Search    Action Input: most famous song of christmas'All I Want For Christmas Is You' by Mariah Carey. I now know the final answer    Final Answer: 'All I Want For Christmas Is You' by Mariah Carey.        > Finished chain.    "'All I Want For Christmas Is You' by Mariah Carey."Using tools to return directly‚ÄãOften, it can be desirable to have a tool output returned directly to the user, if it‚Äôs called. You can do this easily with LangChain by setting the return_direct flag for a tool to be True.llm_math_chain = LLMMathChain(llm=llm)tools = [    Tool(        name="Calculator",        func=llm_math_chain.run,        description="useful for when you need to answer questions about math",        return_direct=True,    )]llm = OpenAI(temperature=0)agent = initialize_agent(    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)agent.run("whats 2**.12")            > Entering new AgentExecutor chain...     I need to calculate this    Action: Calculator    Action Input: 2**.12Answer: 1.086734862526058        > Finished chain.    'Answer: 1.086734862526058'Handling Tool Errors‚ÄãWhen a
When constructing your own agent, you will need to provide it with a list of Tools that it can use. Besides the actual function that is called, the Tool consists of several components:
When constructing your own agent, you will need to provide it with a list of Tools that it can use. Besides the actual function that is called, the Tool consists of several components: ->: LLMMathChainfrom langchain.utilities import SerpAPIWrappersearch = SerpAPIWrapper()tools = [    Tool(        name="Search",        func=search.run,        description="useful for when you need to answer questions about current events",    ),    Tool(        name="Music Search",        func=lambda x: "'All I Want For Christmas Is You' by Mariah Carey.",  # Mock Function        description="A Music search engine. Use this more than the normal search if the question is about Music, like 'who is the singer of yesterday?' or 'what is the most popular song in 2022?'",    ),]agent = initialize_agent(    tools,    OpenAI(temperature=0),    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,)agent.run("what is the most famous song of christmas")            > Entering new AgentExecutor chain...     I should use a music search engine to find the answer    Action: Music Search    Action Input: most famous song of christmas'All I Want For Christmas Is You' by Mariah Carey. I now know the final answer    Final Answer: 'All I Want For Christmas Is You' by Mariah Carey.        > Finished chain.    "'All I Want For Christmas Is You' by Mariah Carey."Using tools to return directly‚ÄãOften, it can be desirable to have a tool output returned directly to the user, if it‚Äôs called. You can do this easily with LangChain by setting the return_direct flag for a tool to be True.llm_math_chain = LLMMathChain(llm=llm)tools = [    Tool(        name="Calculator",        func=llm_math_chain.run,        description="useful for when you need to answer questions about math",        return_direct=True,    )]llm = OpenAI(temperature=0)agent = initialize_agent(    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)agent.run("whats 2**.12")            > Entering new AgentExecutor chain...     I need to calculate this    Action: Calculator    Action Input: 2**.12Answer: 1.086734862526058        > Finished chain.    'Answer: 1.086734862526058'Handling Tool Errors‚ÄãWhen a