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Test targets run with `-n auto`, which makes `pytest-benchmark` (present via `langchain-tests`) auto-disable itself and emit a `PytestBenchmarkWarning` once per xdist worker. Passing `--benchmark-disable` turns the plugin off explicitly so the warning never fires, matching what `core` and `langchain_v1` already do. ## Changes - Add `--benchmark-disable` to the `-n auto` test targets across `langchain` (unit) and 14 partner packages' integration targets: `anthropic`, `chroma`, `deepseek`, `exa`, `fireworks`, `groq`, `huggingface`, `mistralai`, `nomic`, `ollama`, `openai`, `openrouter`, `qdrant`, `xai`. - Deliberately excluded `text-splitters` and `model-profiles`: their `test` group doesn't install `pytest-benchmark`, so the flag would fail with `unrecognized arguments`. Verified by importing the plugin under each package's actual dependency group before editing.
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.