- `stream_v2` / `astream_v2` now pass the assembled `AIMessage` to `on_llm_end` via `LLMResult(generations=[[ChatGeneration(message=...)]])`, so LangSmith and other tracers see the final response on v2 calls (was previously `generations=[]`). - `astream_v2`'s producer re-raises `asyncio.CancelledError` ahead of the generic handler, so cancellation propagates normally instead of being converted into `on_llm_error` + a swallowed exception. - New `message_to_events` / `amessage_to_events` in `_compat_bridge` replay a finalized `AIMessage` as a synthetic content-block lifecycle. Intended for the langgraph-side handler that emits protocol events for non-streamed node outputs (cache hits, `model.invoke()` inside a node, checkpointed state). Turns `_extract_final_blocks` from a dangling helper into a real caller. - Document the optional `_stream_chat_model_events` / `_astream_chat_model_events` provider hooks inline at the getattr sites so integrators can discover the expected signature.
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.