"kwargs": {                "content": "I now know the final answer\nFinal Answer: The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days.",                "additional_kwargs": {}              }            }          }        ]      ],      "llm_output": {        "token_usage": {          "prompt_tokens": 926,          "completion_tokens": 43,          "total_tokens": 969        },        "model_name": "gpt-4"      },      "run": null    }    [chain/end] [1:RunTypeEnum.chain:AgentExecutor > 14:RunTypeEnum.chain:LLMChain] [3.52s] Exiting Chain run with output:    {      "text": "I now know the final answer\nFinal Answer: The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days."    }    [chain/end] [1:RunTypeEnum.chain:AgentExecutor] [21.96s] Exiting Chain run with output:    {      "output": "The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days."    }    'The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days.'set_vebose(True)‚ÄãSetting the verbose flag will print out inputs and outputs in a slightly more readable format and will skip logging certain raw outputs (like the token usage stats for an LLM call) so that you can focus on application logic.from langchain.globals import set_verboseset_verbose(True)agent.run("Who directed the 2023 film Oppenheimer and what is their age? What is their age in days (assume 365 days per year)?")Console output             > Entering new AgentExecutor chain...            > Entering new LLMChain chain...    Prompt after formatting:    Answer the following questions as best you can. You have access to the following tools:        duckduckgo_search: A wrapper around DuckDuckGo Search. Useful for when you need to answer questions
If you're building with LLMs, at some point something will break, and you'll need to debug. A model call will fail, or the model output will be misformatted, or there will be some nested model calls and it won't be clear where along the way an incorrect output was created.
If you're building with LLMs, at some point something will break, and you'll need to debug. A model call will fail, or the model output will be misformatted, or there will be some nested model calls and it won't be clear where along the way an incorrect output was created. ->: "kwargs": {                "content": "I now know the final answer\nFinal Answer: The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days.",                "additional_kwargs": {}              }            }          }        ]      ],      "llm_output": {        "token_usage": {          "prompt_tokens": 926,          "completion_tokens": 43,          "total_tokens": 969        },        "model_name": "gpt-4"      },      "run": null    }    [chain/end] [1:RunTypeEnum.chain:AgentExecutor > 14:RunTypeEnum.chain:LLMChain] [3.52s] Exiting Chain run with output:    {      "text": "I now know the final answer\nFinal Answer: The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days."    }    [chain/end] [1:RunTypeEnum.chain:AgentExecutor] [21.96s] Exiting Chain run with output:    {      "output": "The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days."    }    'The director of the 2023 film Oppenheimer is Christopher Nolan and he is 52 years old. His age in days is approximately 18980 days.'set_vebose(True)‚ÄãSetting the verbose flag will print out inputs and outputs in a slightly more readable format and will skip logging certain raw outputs (like the token usage stats for an LLM call) so that you can focus on application logic.from langchain.globals import set_verboseset_verbose(True)agent.run("Who directed the 2023 film Oppenheimer and what is their age? What is their age in days (assume 365 days per year)?")Console output             > Entering new AgentExecutor chain...            > Entering new LLMChain chain...    Prompt after formatting:    Answer the following questions as best you can. You have access to the following tools:        duckduckgo_search: A wrapper around DuckDuckGo Search. Useful for when you need to answer questions