Emil Filipov
69b4da868f
Of the accepted schema forms -- a `pydantic.BaseModel` subclass, a `pydantic.v1.BaseModel` subclass, or a JSON schema dict -- only the dict has a JSON form, so dumping the field is what raises `PydanticSerializationError`. Mark it `exclude=True`, matching how `BaseTool.callbacks` and the chat model `cache`/`rate_limiter` fields already handle values that only mean something in this process. `exclude` applies to every dump mode at once; pydantic has no per-mode variant, and `exclude_if` (2.12+) is both above this package's floor and blind to the mode. So a dict `args_schema`, which serialized fine before, is dropped too, and `model_dump()` no longer round-trips into `StructuredTool(**dumped)`. A subclass that wants the field in its dumps can re-declare it.
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.