Agent stopped due to iteration limit or time limit.

[xxm1668]

Issue you'd like to raise.

如何获取打印的日志呢？不知道怎么关闭这些打印的日志

Suggestion:

No response

[dosubot[bot]]

🤖

对于如何获取打印的日志并关闭它们，您可以参考以下步骤：

在LangChain中，日志的打印是由initialize_agent函数中的verbose参数控制的。如果verbose设置为True，则会打印日志。如果设置为False，则不会打印日志。

要禁用日志，您可以在初始化代理时将verbose设置为False。以下是一个示例：

agent = initialize_agent(
    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=False
)

要获取打印的日志，您需要将标准输出重定向到文件或日志系统。这与LangChain无关，但是在Python中是常见的做法。以下是一个示例：

import sys

sys.stdout = open('logfile.log', 'w')

# 现在所有的打印语句都会写入'logfile.log'
agent = initialize_agent(
    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
)

请注意，这将重定向所有的打印语句，而不仅仅是来自LangChain的日志。如果您只想捕获来自LangChain的日志，您需要修改LangChain的代码，使用日志系统代替打印语句。

另外，我注意到您的问题中包含了一个图片链接，但是我无法查看图片。如果您能提供更多的文字描述，我可能会更好地帮助您。

参考资料：

• libs/langchain/tests/integration_tests/callbacks/test_langchain_tracer.py
• libs/langchain/langchain/agents/initialize.py

Sources

• How to disable logger streaming for async LLMChain calls?
• libs/langchain/tests/integration_tests/callbacks/test_langchain_tracer.py
• libs/langchain/langchain/agents/initialize.py

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[xxm1668]

好的，谢谢

[xxm1668]

我其实想说的是response = agent_exec.run("游戏角色马里奥是谁？")，返回值是Agent stopped due to iteration limit or time limit.

return_direct = True，response就可以获取大模型回答的结果了

[timxieICN]

I think you can just set verbose=True in initialize_agent? Not sure if you are looking for something else

[dosubot[bot]]

Hi, @xxm1668,

I'm helping the LangChain team manage their backlog and am marking this issue as stale. From what I understand, the issue was opened by you regarding an agent stopping due to iteration or time limits. There was a detailed response provided by me with code examples and references to relevant files in the repository. You expressed gratitude for the response and clarified the specific information you were looking for. Additionally, timxieICN suggested setting verbose=True in initialize_agent as a potential solution.

Could you please confirm if this issue is still relevant to the latest version of the LangChain repository? If it is, please let the LangChain team know by commenting on the issue. Otherwise, feel free to close the issue yourself, or it will be automatically closed in 7 days.

Thank you!