0efc5d538e
The compat bridge produces InvalidToolCallBlock when tool-call JSON parse
fails, but ChatModelStream had no handler for it. The finish event was
silently ignored, the stale chunk stayed in _tool_call_chunks, and
_finish's sweep re-parsed (failed again), fell back to args={}, and
appended a valid-looking ToolCallBlock — so the protocol said "invalid"
while the assembled AIMessage said "valid with empty args". An agent layer
downstream could then dispatch the malformed call.
The finish handler now routes invalid_tool_call blocks into
_invalid_tool_calls_acc and deletes the stale chunk entry; _finish's sweep
emits InvalidToolCallBlock on JSON failure instead of an empty-args tool
call; _assemble_message passes invalid_tool_calls through to AIMessage.
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.