### Checked other resources

- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
- [X] I am sure that this is a bug in LangChain rather than my code.
- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

### Example Code

model = OpenAI(model_name=model_name, verbose=True)       
chain = (
          {
              "question": get_question,
          }
          | prompt
          | model
          | StrOutputParser()
  )

result = await chain.ainvoke(input_text)

### Error Message and Stack Trace (if applicable)

test_prompt_results.py:54: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../services/chain.py:146: in dispatch2
    result = await chain.ainvoke(input_text)
../../langchain/libs/core/langchain_core/runnables/base.py:2418: in ainvoke
    callback_manager = get_async_callback_manager_for_config(config)
../../langchain/libs/core/langchain_core/runnables/config.py:421: in get_async_callback_manager_for_config
    return AsyncCallbackManager.configure(
../../langchain/libs/core/langchain_core/callbacks/manager.py:1807: in configure
    return _configure(
../../langchain/libs/core/langchain_core/callbacks/manager.py:1971: in _configure
    debug = _get_debug()
../../langchain/libs/core/langchain_core/callbacks/manager.py:58: in _get_debug
    return get_debug()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def get_debug() -> bool:
        """Get the value of the `debug` global setting."""
        try:
            import langchain  # type: ignore[import]
    
            # We're about to run some deprecated code, don't report warnings from it.
            # The user called the correct (non-deprecated) code path and shouldn't get warnings.
            with warnings.catch_warnings():
                warnings.filterwarnings(
                    "ignore",
                    message="Importing debug from langchain root module is no longer supported",
                )
                # N.B.: This is a workaround for an unfortunate quirk of Python's
                #       module-level `__getattr__()` implementation:
                # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004
                #
                # Remove it once `langchain.debug` is no longer supported, and once all users
                # have migrated to using `set_debug()` here.
                #
                # In the meantime, the `debug` setting is considered True if either the old
                # or the new value are True. This accommodates users who haven't migrated
                # to using `set_debug()` yet. Those users are getting deprecation warnings
                # directing them to use `set_debug()` when they import `langhchain.debug`.
>               old_debug = langchain.debug
E               AttributeError: module 'langchain' has no attribute 'debug'

../../langchain/libs/core/langchain_core/globals.py:129: AttributeError

### Description

Unable to run OPENAI query with chain as describe in the example code. Getting an error:
AttributeError: module 'langchain' has no attribute 'debug'

### System Info

master from 24/5/2024
AttributeError: module 'langchain' has no attribute 'debug'
This is a GitHub Issue
repo:langchain
owner:hwchase17
Title : AttributeError: module 'langchain' has no attribute 'debug'
Issue date:

--- start body ---
### Checked other resources

- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
- [X] I am sure that this is a bug in LangChain rather than my code.
- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

### Example Code

model = OpenAI(model_name=model_name, verbose=True)       
chain = (
          {
              "question": get_question,
          }
          | prompt
          | model
          | StrOutputParser()
  )

result = await chain.ainvoke(input_text)

### Error Message and Stack Trace (if applicable)

test_prompt_results.py:54: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../services/chain.py:146: in dispatch2
    result = await chain.ainvoke(input_text)
../../langchain/libs/core/langchain_core/runnables/base.py:2418: in ainvoke
    callback_manager = get_async_callback_manager_for_config(config)
../../langchain/libs/core/langchain_core/runnables/config.py:421: in get_async_callback_manager_for_config
    return AsyncCallbackManager.configure(
../../langchain/libs/core/langchain_core/callbacks/manager.py:1807: in configure
    return _configure(
../../langchain/libs/core/langchain_core/callbacks/manager.py:1971: in _configure
    debug = _get_debug()
../../langchain/libs/core/langchain_core/callbacks/manager.py:58: in _get_debug
    return get_debug()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def get_debug() -> bool:
        """Get the value of the `debug` global setting."""
        try:
            import langchain  # type: ignore[import]
    
            # We're about to run some deprecated code, don't report warnings from it.
            # The user called the correct (non-deprecated) code path and shouldn't get warnings.
            with warnings.catch_warnings():
                warnings.filterwarnings(
                    "ignore",
                    message="Importing debug from langchain root module is no longer supported",
                )
                # N.B.: This is a workaround for an unfortunate quirk of Python's
                #       module-level `__getattr__()` implementation:
                # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004
                #
                # Remove it once `langchain.debug` is no longer supported, and once all users
                # have migrated to using `set_debug()` here.
                #
                # In the meantime, the `debug` setting is considered True if either the old
                # or the new value are True. This accommodates users who haven't migrated
                # to using `set_debug()` yet. Those users are getting deprecation warnings
                # directing them to use `set_debug()` when they import `langhchain.debug`.
>               old_debug = langchain.debug
E               AttributeError: module 'langchain' has no attribute 'debug'

../../langchain/libs/core/langchain_core/globals.py:129: AttributeError

### Description

Unable to run OPENAI query with chain as describe in the example code. Getting an error:
AttributeError: module 'langchain' has no attribute 'debug'

### System Info

master from 24/5/2024
--- end body ---

The issue indicates an AttributeError in the LangChain library, where the module 'langchain' is expected to have a 'debug' attribute, but it does not. This suggests that there may be a problem with the library's version or installation, but it does not indicate a security vulnerability.