8fc58c6013
Fixes #35244 Users can write async agent middleware with `@wrap_model_call`, and LangChain already supports that behavior at runtime by detecting coroutine functions and wiring them to `awrap_model_call`. However, the decorator's public typing currently describes only the sync callable shape. As a result, valid async middleware is rejected by type checkers such as mypy and ty, even though the same code runs correctly. This updates the middleware decorator types so async `wrap_model_call` and `wrap_tool_call` functions type-check consistently with their runtime behavior. It also simplifies related callable aliases and uses casts where `iscoroutinefunction` narrows the callable at runtime but static type checkers cannot follow that narrowing. --------- Co-authored-by: Mason Daugherty <github@mdrxy.com>
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.