673ce8c091
`ChatXAI` currently forwards `stop` to xAI reasoning models, which xAI rejects. This causes calls such as `ChatXAI(model="grok-3", stop=[...])` and unprofiled reasoning aliases such as `ChatXAI(model="grok-4-fast-reasoning", stop=[...])` to fail before the model can respond. This updates the xAI payload construction so unsupported `stop` values are removed for reasoning models. The check uses generated model profiles when available and keeps an explicit alias fallback for known reasoning model names that may not be present in profile data, including older Grok 3 aliases and Grok 4 reasoning aliases. Explicit non-reasoning aliases continue to preserve `stop`. The regression tests cover the reported Grok 3 path, a current profiled reasoning model, the `grok-4-fast-reasoning` alias used by integration tests, and a non-reasoning model that should continue to preserve `stop`. AI-assisted contribution: this PR includes changes authored with AI-agent assistance.
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.