32bbe99efc
Support injection of injected args (like `InjectedToolCallId`, `ToolRuntime`) when an `args_schema` is specified that doesn't contain said args. This allows for pydantic validation of other args while retaining the ability to inject langchain specific arguments. fixes https://github.com/langchain-ai/langchain/issues/33646 fixes https://github.com/langchain-ai/langchain/issues/31688 Taking a deep dive here reminded me that we definitely need to revisit our internal tooling logic, but I don't think we should do that in this PR. --------- Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Co-authored-by: Sydney Runkle <sydneymarierunkle@gmail.com>
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.