"{", "{{").replace("}", "}}")self_ask_with_search = initialize_agent(    [shell_tool], llm, agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True)self_ask_with_search.run(    "Download the langchain.com webpage and grep for all urls. Return only a sorted list of them. Be sure to use double quotes.")            > Entering new AgentExecutor chain...    Question: What is the task?    Thought: We need to download the langchain.com webpage and extract all the URLs from it. Then we need to sort the URLs and return them.    Action:    ```    {      "action": "shell",      "action_input": {        "commands": [          "curl -s https://langchain.com | grep -o 'http[s]*://[^\" ]*' | sort"        ]      }    }    ```    /Users/wfh/code/lc/lckg/langchain/tools/shell/tool.py:34: UserWarning: The shell tool has no safeguards by default. Use at your own risk.      warnings.warn(        Observation: https://blog.langchain.dev/    https://discord.gg/6adMQxSpJS    https://docs.langchain.com/docs/    https://github.com/hwchase17/chat-langchain    https://github.com/hwchase17/langchain    https://github.com/hwchase17/langchainjs    https://github.com/sullivan-sean/chat-langchainjs    https://js.langchain.com/docs/    https://python.langchain.com/en/latest/    https://twitter.com/langchainai        Thought:The URLs have been successfully extracted and sorted. We can return the list of URLs as the final answer.    Final Answer: ["https://blog.langchain.dev/", "https://discord.gg/6adMQxSpJS", "https://docs.langchain.com/docs/", "https://github.com/hwchase17/chat-langchain", "https://github.com/hwchase17/langchain", "https://github.com/hwchase17/langchainjs", "https://github.com/sullivan-sean/chat-langchainjs", "https://js.langchain.com/docs/", "https://python.langchain.com/en/latest/", "https://twitter.com/langchainai"]        > Finished chain.    '["https://blog.langchain.dev/", "https://discord.gg/6adMQxSpJS", "https://docs.langchain.com/docs/",
Giving agents access to the shell is powerful (though risky outside a sandboxed environment).
Giving agents access to the shell is powerful (though risky outside a sandboxed environment). ->: "{", "{{").replace("}", "}}")self_ask_with_search = initialize_agent(    [shell_tool], llm, agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True)self_ask_with_search.run(    "Download the langchain.com webpage and grep for all urls. Return only a sorted list of them. Be sure to use double quotes.")            > Entering new AgentExecutor chain...    Question: What is the task?    Thought: We need to download the langchain.com webpage and extract all the URLs from it. Then we need to sort the URLs and return them.    Action:    ```    {      "action": "shell",      "action_input": {        "commands": [          "curl -s https://langchain.com | grep -o 'http[s]*://[^\" ]*' | sort"        ]      }    }    ```    /Users/wfh/code/lc/lckg/langchain/tools/shell/tool.py:34: UserWarning: The shell tool has no safeguards by default. Use at your own risk.      warnings.warn(        Observation: https://blog.langchain.dev/    https://discord.gg/6adMQxSpJS    https://docs.langchain.com/docs/    https://github.com/hwchase17/chat-langchain    https://github.com/hwchase17/langchain    https://github.com/hwchase17/langchainjs    https://github.com/sullivan-sean/chat-langchainjs    https://js.langchain.com/docs/    https://python.langchain.com/en/latest/    https://twitter.com/langchainai        Thought:The URLs have been successfully extracted and sorted. We can return the list of URLs as the final answer.    Final Answer: ["https://blog.langchain.dev/", "https://discord.gg/6adMQxSpJS", "https://docs.langchain.com/docs/", "https://github.com/hwchase17/chat-langchain", "https://github.com/hwchase17/langchain", "https://github.com/hwchase17/langchainjs", "https://github.com/sullivan-sean/chat-langchainjs", "https://js.langchain.com/docs/", "https://python.langchain.com/en/latest/", "https://twitter.com/langchainai"]        > Finished chain.    '["https://blog.langchain.dev/", "https://discord.gg/6adMQxSpJS", "https://docs.langchain.com/docs/",