50c5bb5607
# refactor(core): improve docstrings for HTML link extraction utilities ## Description This PR updates and clarifies the docstrings for `find_all_links` and `extract_sub_links` in `libs/core/langchain_core/utils/html.py`. The previous return-value descriptions were vague (e.g., "all links", "sub links"). They have now been revised to clearly describe the behavior and output of each function: - **find_all_links** → “A list of all links found in the HTML.” - **extract_sub_links** → “A list of absolute paths to sub links.” These improvements make the utilities more understandable and developer-friendly without altering functionality. ## Verification - `ruff check libs/core/langchain_core/utils/html.py`: **Passed** - `pytest libs/core/tests/unit_tests/utils/test_html.py`: **Passed** ## Checklists - PR title follows the required format: `TYPE(SCOPE): DESCRIPTION` - Changes are limited to the `langchain-core` package - `make format`, `make lint`, and `make test` pass
Packages
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.