create the tool to pass to an agenttools = [    Tool(        name="python_repl",        description="A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.",        func=python_repl.run,    )]llm = ChatOpenAI(temperature=0)agent_chain = initialize_agent(    tools,    llm,    agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,    verbose=True,    memory=memory,)    ---------------------------------------------------------------------------    ValidationError                           Traceback (most recent call last)    Cell In[17], line 1    ----> 1 llm = ChatOpenAI(temperature=0)          2 agent_chain = initialize_agent(          3     tools,          4     llm,       (...)          7     memory=memory,          8 )    File ~/Documents/projects/langchain/libs/langchain/langchain/load/serializable.py:74, in Serializable.__init__(self, **kwargs)         73 def __init__(self, **kwargs: Any) -> None:    ---> 74     super().__init__(**kwargs)         75     self._lc_kwargs = kwargs    File ~/Documents/projects/langchain/.venv/lib/python3.9/site-packages/pydantic/main.py:341, in pydantic.main.BaseModel.__init__()    ValidationError: 1 validation error for ChatOpenAI    __root__      Did not find openai_api_key, please add an environment variable `OPENAI_API_KEY` which contains it, or pass  `openai_api_key` as a named parameter. (type=value_error)agent_chain.run(input="Hello!")agent_chain.run(input="Who owns Twitter?")agent_chain.run(input="My name is Bob.")agent_chain.run(input="Who am I?")PreviousMemoryNextCassandraDynamoDBChatMessageHistoryDynamoDBChatMessageHistory with Custom Endpoint URLDynamoDBChatMessageHistory With Different Keys Composite KeysPrimary Key NameComposite KeysAgent with DynamoDB MemoryCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Amazon AWS DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.
Amazon AWS DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. ->: create the tool to pass to an agenttools = [    Tool(        name="python_repl",        description="A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.",        func=python_repl.run,    )]llm = ChatOpenAI(temperature=0)agent_chain = initialize_agent(    tools,    llm,    agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,    verbose=True,    memory=memory,)    ---------------------------------------------------------------------------    ValidationError                           Traceback (most recent call last)    Cell In[17], line 1    ----> 1 llm = ChatOpenAI(temperature=0)          2 agent_chain = initialize_agent(          3     tools,          4     llm,       (...)          7     memory=memory,          8 )    File ~/Documents/projects/langchain/libs/langchain/langchain/load/serializable.py:74, in Serializable.__init__(self, **kwargs)         73 def __init__(self, **kwargs: Any) -> None:    ---> 74     super().__init__(**kwargs)         75     self._lc_kwargs = kwargs    File ~/Documents/projects/langchain/.venv/lib/python3.9/site-packages/pydantic/main.py:341, in pydantic.main.BaseModel.__init__()    ValidationError: 1 validation error for ChatOpenAI    __root__      Did not find openai_api_key, please add an environment variable `OPENAI_API_KEY` which contains it, or pass  `openai_api_key` as a named parameter. (type=value_error)agent_chain.run(input="Hello!")agent_chain.run(input="Who owns Twitter?")agent_chain.run(input="My name is Bob.")agent_chain.run(input="Who am I?")PreviousMemoryNextCassandraDynamoDBChatMessageHistoryDynamoDBChatMessageHistory with Custom Endpoint URLDynamoDBChatMessageHistory With Different Keys Composite KeysPrimary Key NameComposite KeysAgent with DynamoDB MemoryCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.