`ContentBlock` is closed at type-check time, but only as closed as the installed `mcp`. A caller on a newer SDK could reach the fallback, where `assert_never` raised an `AssertionError` that reads as "impossible" rather than "your `mcp` is newer than this adapter". Both fallbacks now raise a `ValueError` naming the type that arrived, and the embedded-resource branch checks for `BlobResourceContents` instead of assuming anything that is not text carries a `blob` — which would have been an `AttributeError` on a resource kind the SDK adds later. Exhaustiveness is still enforced statically: mypy proves both lines unreachable, so the `unreachable` ignores become unused-ignore errors under `strict` the moment either union grows a member.
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.