ExperimentalMarkdownSyntaxTextSplitter missing in __init__

[luc42ei]

Checked other resources

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

Example Code

In the __init__ file in langchain_text_splitters, the ExperimentalMarkdownSyntaxTextSplitter should be added like so:

from langchain_text_splitters.markdown import (
    ExperimentalMarkdownSyntaxTextSplitter,
    HeaderType,
    LineType,
    MarkdownHeaderTextSplitter,
    MarkdownTextSplitter,
)

Error Message and Stack Trace (if applicable)

from langchain_text_splitters import ExperimentalMarkdownSyntaxTextSplitter
ImportError: cannot import name 'ExperimentalMarkdownSyntaxTextSplitter' from 'langchain_text_splitters'

Description

I'm trying to import ExperimentalMarkdownSyntaxTextSplitter

System Info

langchain==0.2.16
langchain-community==0.2.16
langchain-core==0.2.38
langchain-openai==0.1.23
langchain-text-splitters==0.2.4
langchainhub==0.1.21

I'm on Linux, Debian

python version 3.11

[ZhangShenao]

try to fix it in #26703

[dosubot]

Hi, @luc42ei. I'm Dosu, and I'm helping the LangChain team manage their backlog. I'm marking this issue as stale.

Issue Summary:

• The ExperimentalMarkdownSyntaxTextSplitter was missing from the __init__.py file in the langchain_text_splitters module, causing an ImportError.
• You suggested adding the import statement to resolve the issue.
• @ZhangShenao has submitted pull request Improvement[text-splitter] Fix import of ExperimentalMarkdownSyntaxTextSplitter #26703 to address this.

Next Steps:

• Please confirm if this issue is still relevant with the latest version of the LangChain repository. If it is, feel free to comment to keep the discussion open.
• If there are no further updates, this issue will be automatically closed in 7 days.

Thank you for your understanding and contribution!