6b203f082d
Add explicit `stream_v2` / `astream_v2` overrides on `RunnableBinding` that merge `self.kwargs` into the delegated call, mirroring the existing `stream` / `astream` / `invoke` overrides. Without these, calls that chained through `bind` or `bind_tools` fell through `__getattr__` (which merges `self.config` but not `self.kwargs`) and silently dropped bound tools, stop sequences, and other runtime kwargs. The returns are typed as `Any` to avoid pulling chat-model types into `langchain_core.runnables.base`; the method only makes sense when the bound runnable is a chat model, and `AttributeError` propagates unchanged if it isn't. Adds tests covering bound-kwarg forwarding for both sync and async paths plus the call-time kwarg override semantics.
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.