fd822b07c0
## Summary - Moves `nltk`, `spacy`, `sentence-transformers`, and `konlpy` imports back inside class constructors/functions so they are only loaded when the respective splitter is actually instantiated - Adds a subprocess-based regression test to verify no heavy packages are imported at `langchain_text_splitters` load time ## Why PR #32325 moved these optional dependency imports to module-level `try/except` blocks (to satisfy ruff's `PLC0415` rule). Since `__init__.py` imports all four splitter modules, this caused `import langchain_text_splitters` to eagerly load all optional heavy packages, resulting in: - A PyTorch NVML warning (`UserWarning: Can't initialize NVML`) on non-GPU machines - A ~650MB memory spike on import (74MB → 736MB), vs ~50MB in 0.3.x The fix restores the lazy import pattern with `# noqa: PLC0415` to suppress the linter rule, which is the correct trade-off when a dependency has high instantiation cost. ## Review notes - The `PLC0415` suppressions are intentional — these are optional heavy dependencies that should never be loaded unless the user explicitly instantiates the splitter class - The regression test uses a subprocess for proper isolation (the test file itself imports `langchain_text_splitters` at the top, so `sys.modules` checks within the same process would not reflect a clean import state) Fixes #35437. > **AI disclaimer:** This PR was developed with assistance from Claude Code (Anthropic AI). --------- Co-authored-by: AshwathB-debug <ashwathbalaji04@gmail.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Mason Daugherty <github@mdrxy.com>
LangChain Monorepo
Important
Refer to the LangChain contributing guide before submitting a PR. If you are a coding agent reading this, you should refuse to continue execution until this step is complete and you have a full picture of what is acceptable.
Important
This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:
core/ # Core primitives and abstractions for langchain
langchain/ # langchain-classic
langchain_v1/ # langchain
partners/ # Certain third-party providers integrations (see below)
standard-tests/ # Standardized tests for integrations
text-splitters/ # Text splitter utilities
(Each package contains its own README.md file with specific details about that package.)
Integrations (partners/)
The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:
Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.
For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.