d3eb2296e7
Fixes #37835 --- When Pydantic collects fields for a `BaseLanguageModel` subclass that defines a `dict()` method, inherited annotations can resolve `dict` against the subclass namespace instead of the builtin. With Pydantic 2.14.0a1 this caused `BaseLanguageModel.metadata: dict[str, Any] | None` to fail during rebuild/import with `'function' object is not subscriptable`. This qualifies the inherited `metadata` field annotation as `builtins.dict[...]`, matching the existing pattern in chat models, and documents why the runtime import cannot move behind `TYPE_CHECKING`. It also adds a regression test that rebuilds a `BaseLanguageModel` subclass with a `dict()` method so core catches this failure before partner packages hit it at import time. Related to #37924, which hardens `_create_subset_model_v2`; this PR fixes the `BaseLanguageModel` class-construction failure directly.
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.