Files
langchain/libs
langchain-oss-model-profiles[bot] 233e02a822 chore(model-profiles): refresh model profile data (#38810)
Automated refresh of model profile data for all in-monorepo partner
integrations via `langchain-profiles refresh`.

🤖 Generated by the [`refresh_model_profiles`
workflow](https://github.com/langchain-ai/langchain/blob/master/.github/workflows/refresh_model_profiles.yml).


## Summary of changes

**0 added · 1 removed · 1 changed** across 1 provider(s).

### openrouter

** 1 removed**
- `meta-llama/llama-3-8b-instruct`

**✏️ 1 changed**
- `z-ai/glm-5.2`: max output tokens 131,072 → 128,000

Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
2026-07-12 17:59:19 -04:00
..
2026-07-08 15:58:21 -04:00

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

View all LangChain integrations packages

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.